Abstract: To estimate a positional relationship between devices having transmitted and received signals with higher accuracy. A control device includes a control unit that compares reliability parameters that are indexes indicating a degree of whether or not a signal is appropriate as a processing target for estimating a positional relationship between each of the plurality of communication devices and the other communication device, calculated on the basis of the signals received from the other communication device by the communication device, and performs control for estimating the positional relationship on the basis of a signal transmitted and received between the communication device that has received a signal that is more appropriate as a processing target for estimating the positional relationship and the other communication device.

Abstract: Techniques are provided for managing transmit and receive beams in a millimeter wave (mmW) communication system for use in bistatic radio frequency (RF) sensing. An example method of tracking targets with bistatic radio frequency sensing includes receiving one or more sensing reference signals, generating a signal report based at least in part on the one or more sensing reference signals, transmitting the signal report, receiving tracking signal configuration information, receiving one or more tracking reference signals identified in the tracking signal configuration information, and tracking one or more targets associated with the one or more tracking reference signals.

Abstract: Aspects of the subject disclosure may include, for example, deploying UAVs to a geographic area based on a need to offload traffic from a terrestrial base station, instructing the base station to enforce a UE served by the base station to determine a DoA of a received pilot signal emitted from each neighboring cell and to provide determined DoAs in a measurement report to the base station, obtaining the report from the base station, wherein the report includes DoA information for a plurality of neighboring cells, analyzing the DoA information to determine, for each neighboring cell of the plurality of neighboring cells, a probability of that neighboring cell being an aerial cell, resulting in determined probabilities, and controlling an ability of the base station to perform a handover of the UE to one or more of the plurality of neighboring cells based on the probabilities. Other embodiments are disclosed.

Abstract: In aspects of environment dead zone determination based on UWB ranging, a system includes ultra-wideband (UWB) radios associated with respective devices in an environment. An automation controller receives UWB ranging data from the UWB radios, and can monitor locations of the respective devices in the environment. The automation controller can detect a loss of coverage by a device connected in the environment, and determine a coverage dead zone within the environment at the location of the loss of coverage by the device based on the UWB ranging data. A computing device can implement the automation controller that receives the UWB ranging data from the UWB radios, and monitors the locations of the respective devices in the environment. The automation controller can detect the loss of coverage by the device, and determine the coverage dead zone within the environment at the location of the loss of coverage by the device.

Abstract: Systems, methods, and instrumentalities are disclosed to manage interference caused by D2D communications. A wireless transmit receive unit (WTRU) may include a processor. The processor may be configured to perform one or more of the following. The processor may determine to send information using a device-to-device transmission via a resource pool from a plurality of resource pools. Each resource pool may be associated with a range of reference signal receive power (RSRP) values. The processor may determine a RSRP measurement of a cell associated with the WTRU. The processor may select a resource pool from the plurality of resource pools based on the RSRP measurement of the cell. The RSRP measurement of the cell may be within the range of RSRP values associated with the selected resource pool. The processor may send the information using the selected resource pool.

Abstract: The influence of multipath on the positioning calculation based on positioning signals transmitted from satellites is reduced. A self-position is estimated using a positioning calculation result based on a positioning signal transmitted from a satellite. Movement of a mobile body is controlled on the basis of the estimated self-position. A multipath reduction action signal is output when the mobile body is in a multipath environment. The mobile body is controlled so as to take a multipath reduction action when the mobile body is in a predetermined movement state and the multipath reduction action signal is output.

Abstract: This specification relates to estimation of a location of a mobile device using one or more locator devices.

Abstract: Disclosed is an electronic device including a plurality of antennas, and a control circuit configured to identify a two-dimensional coordinate value using signals received through the plurality of antennas and correct a signal reception angle based on the two-dimensional coordinate value, or to selectively filter data received from a signal source.

Abstract: A gas sensor network system provides near real-time monitoring of fugitive emissions of VOC compounds in chemical plants and facilities. The present disclosure provides a sensor placement method which determines where to place sensors within a facility. The sensor placement method includes obtaining plant layout, gas composition, meteorological conditions and/or other types of information regarding a facility, determining the types of gas and ancillary sensors needed, and generating the minimum detection distances required based on the sensitivities of the sensors to the gas compounds involved. And, then calculating the minimal number of sensors required for each sensor type with optimized sensor locations to ensure best coverage of potentially leaking components within the facility.

Abstract: In at least one embodiment, a method for measuring a distance between a first communications device including a first local oscillator and a second communications device including a second local oscillator includes unwrapping N phase values to generate N unwrapped phase values. N is an integer greater than one. Each of the N phase values indicate an instantaneous phase of a received signal. The method includes averaging the N unwrapped phase values to generate an average phase value. The method includes wrapping the average phase value to generate a final phase measurement of the first local oscillator with respect to the second local oscillator.

Abstract: The embodiments described herein provide ranging capabilities in RF-opaque environments, such as a jungle, utilizing transponders located on a property line. In particular, the embodiments described herein provide for determining a distance to a property line from a ranging device. The transponders are located on the property line and are separated from each other by a known distance. The ranging device transmits RF signals to the transponders, and receives RF signals returned by the transponders on a different frequency. The ranging device uses information about the transmitted and received RF signals and the known distance to calculate a distance from the ranging device to the property line.

Abstract: Disclosed is an electronic device including a plurality of antennas, and a control circuit configured to identify a two-dimensional coordinate value using signals received through the plurality of antennas and correct a signal reception angle based on the two-dimensional coordinate value, or to selectively filter data received from a signal source.

Abstract: A gas sensor network system provides near real-time monitoring of fugitive emissions of VOC compounds in chemical plants and facilities. The present disclosure provides a sensor placement method which determines where to place sensors within a facility. The sensor placement method includes obtaining plant layout, gas composition, meteorological conditions and/or other types of information regarding a facility, determining the types of gas and ancillary sensors needed, and generating the minimum detection distances required based on the sensitivities of the sensors to the gas compounds involved. And, then calculating the minimal number of sensors required for each sensor type with optimized sensor locations to ensure best coverage of potentially leaking components within the facility.

Abstract: Disclosed are methods and systems, for a detection and avoidance system for beyond visual line of sight operations of urban air mobility in airspace. For instance, the method may include: receiving tracking data from a first source, the tracking data including information identifying a position of a tracked object within a radius of the vehicle, receiving map data from a second source, the map data comprising information identifying a position and/or a status of a mapped object within a radius of the vehicle, receiving sensor data from one or more sensors, determining a position of a target object within a radius of the vehicle by analyzing the tracking data, the map data, and/or the sensor data, and continuously determining whether to perform an adjustment to a route of the vehicle based on the determined position of each target object within the third predetermined radius of the vehicle.

Abstract: Systems and methods for mapping location and characteristics about traffic participants are described. The systems and methods advantageously use correlative receivers for observing wireless emissions from or reflected by a plurality of traffic participants to allow for tracking geolocation and velocimetry information in real-time. The real-time geolocation and velocimetry information can be useful in autonomous vehicle navigation applications and useful for reducing computational burdens associated with tracking locations of many multiple traffic participants using direct sensor measurements, for example.

Abstract: Methods and systems for dynamically modifying a sampling operation of a sensor. The method includes obtaining a dynamically changing transmission characteristic based on an available channel bandwidth parameter. The dynamically changing transmission characteristic includes at least one of a sample rate, a time period, or a spectral bandwidth. The method further includes updating the sampling operation of the sensor based on the dynamically changing transmission characteristic. The method further includes measuring signal energy at a location of the sensor. The method further includes sampling the signal energy using the sampling operation to obtain sampled data. The method further includes providing the sampled data to a processing entity configured to analyze the data using a dynamically updated cross-ambiguity function.

Abstract: Disclosed herein are methods, devices, and systems for facilitating pilots in determining current and predicted performance specifications of their aircraft. According to one embodiment, a method is implemented on a mobile computing device. The method includes receiving static pilot data, receiving static aircraft data associated with an aircraft, receiving dynamic aircraft data over a time period, determining aircraft performance data based on the static aircraft data and the dynamic aircraft data, providing the aircraft performance data to a graphical user interface (GUI) associated with the mobile computing device, and storing the static pilot data and the aircraft performance data.

Abstract: A non-transitory computer-readable medium storing a plurality of computer-readable instructions executable by a processor, wherein execution of the instructions configures the processor to: obtain location data representing a ground path of a flight of an object; determine, from the location data, a first ground distance and a second ground distance traversed by the object during an ascent phase and a descent phase of the flight of the object, respectively; determine an initial angle of the flight of the object; determine an initial airspeed of the object based on the determined initial angle; determine an air drag value for the object during the flight based on the determined initial angle and the determined initial airspeed; output a flight path of the object, the flight path representing a three-dimensional path travelled by the object during the flight and determined based on the initial angle, the initial airspeed and the air drag value.

Abstract: Systems, methods, and instrumentalities are disclosed to manage interference caused by D2D communications. A wireless transmit receive unit (WTRU) may include a processor. The processor may be configured to perform one or more of the following. The processor may determine to send information using a device-to-device transmission via a resource pool from a plurality of resource pools. Each resource pool may be associated with a range of reference signal receive power (RSRP) values. The processor may determine a RSRP measurement of a cell associated with the WTRU. The processor may select a resource pool from the plurality of resource pools based on the RSRP measurement of the cell. The RSRP measurement of the cell may be within the range of RSRP values associated with the selected resource pool. The processor may send the information using the selected resource pool.

Abstract: Disclosed herein are methods, apparatus and computer program products for use in manufacturing an anatomical protective item for one or more users. Embodiments of anatomical protective items may comprise a single layer of energy controlling cells. Input data associated with one or more users is obtained. The obtained input data is processed to identify one or more energy controlling criteria for the anatomical protective item. A packing process is employed to generate each energy controlling cell in the single layer. Each energy controlling cell comprises one or more walls which extend from an upper surface of the single layer to a lower surface of the single layer. The packing process is performed at least on the basis of the identified one or more energy controlling criteria. The anatomical protective item comprising the single layer of energy controlling cells is manufactured.

Abstract: Methods and systems determine at least one production constraint for a material loading system and a material processing system; estimate an effect of entropy on a cycle time of a material conveying system to produce a future cycle time estimate; estimate an effect of entropy on a material processing time to produce a future material processing time estimate; predict whether a delay will occur during the operation of the material loading, material conveying, and material processing systems; estimate a duration of the predicted delay; determine a loading system capacity and a conveying system capacity required to meet the defined production target based on the production constraint and estimates of the future cycle time, the future material processing time, and the duration of the predicted delay; and deploy one or more material loading and conveying systems to meet the determined loading and conveying system capacities.

Abstract: Methods of deploying shovels and haul trucks to meet a defined production target may include: Determining at least one production constraint for a shovel and a material processing system; estimating an effect of entropy on a cycle time of the haul trucks to produce a future cycle time estimate; estimating an effect of entropy on a material processing time of the material processing system to produce a future material processing time estimate; predicting whether a delay will occur during the operation of the shovel, the haul trucks, and the material processing system; estimating a duration of the predicted delay; determining a number of shovels and a number of haul trucks required to meet the defined production target based on the determined production constraint, the future cycle time estimate, the future material processing time estimate, and the duration of the predicted delay; and deploying the determined number of shovels and the determined number of haul trucks.

Abstract: Presented herein are techniques for assigning Ultra-Wideband (UWB) anchors for client ranging. A location server can estimate a coarse location of a mobile device using a localization technique other than a UWB localization technique. The localization technique can involve multiple wireless access points or other radio devices. The location server can define an area around the coarse location to identify a set of candidate anchors for UWB ranging. The set of candidate anchors can be disposed within the area and include at least a subset of the radio devices. The location server can modify the set of candidate anchors to create a modified set of candidate anchors that includes only UWB-enabled devices. The location server can select a primary anchor from the modified set of candidate anchors and send a command to cause a UWB ranging procedure to be initiated between the primary anchor and the mobile device.

Abstract: A method, particularly a computer-implemented method, for determining information of a bus system that has a transmission medium via which signals are transmittable. The method includes: determining a first variable which characterizes a time difference between a first point in time and a second point in time, a signal output by a transmitter onto the transmission medium of the bus system reaching a first position relative to the transmission medium at the first point in time, and the signal output by the transmitter onto the transmission medium of the bus system reaching a second position relative to the transmission medium at the second point in time; evaluating the first variable, at least one time-to-digital converter device being used for determining the first variable.

Abstract: Methods, systems, and devices for wireless communications are described. A device may transmit, to a set of receiving devices, a configuration for probing a location of an object. The configuration may include a timing gap associated with at least one transmission window and a reception window for a probing pulse signal, and the configuration may indicate for the set of devices to suspend wireless communications during the timing gap to receive a reflection of the probing pulse signal. The device may transmit the probing pulse signal to the object during the transmission window. The device may receive the reflection of the probing pulse signal from the object during the reception window. In some cases, the device may update a communication configuration for the object, or another device associated with the object, based on the reflection of the probing pulse signal.

Abstract: A hyper-precise positioning and communications (HPPC) system and network are provided. The HPPC system is a next-generation positioning technology that promises a low-cost, high-performance solution to the need for more sophisticated positioning technologies in increasingly cluttered environments. The HPPC system is a joint positioning-communications radio technology that simultaneously performs relative positioning and secure communications. Both of these tasks are performed with a single, co-use waveform, which efficiently utilizes limited resources and supports higher user densities. Aspects of this disclosure include an HPPC system for a network which includes an arbitrary number of network nodes (e.g., radio frequency (RF) devices communicating over a joint positions-communications waveform). As such, networking protocols and design of data link and physical layers are described herein.

Abstract: A method includes: receiving a ranging signal from the transmitter comprising a set of multiplexed sub-signals, each multiplexed sub-signal characterized by a frequency in a set of frequencies; calculating a time-based time-of-arrival estimate based on the series of time-domain samples of the ranging signal; calculating a time-based uncertainty of the time-based time-of-arrival; for each sub-signal pair in a subset of multiplexed sub-signals of the set of multiplexed sub-signals, extracting a phase difference of the sub-signal pair; calculating a phase-based time-of-arrival estimate based on the phase difference of each sub-signal pair in the subset of multiplexed sub-signals; calculating a phase-based uncertainty of the phase-based time-of-arrival estimate; and calculating a hybrid time-of-arrival estimate as a weighted combination of the time-based time-of-arrival estimate, the phase-based time-of-arrival estimate, based on the time-based uncertainty and the phase-based uncertainty.

Abstract: An illustrative geolocation authentication system designates a movement feasibility corroboration factor as a location corroboration factor for the geolocation authentication system to authenticate geolocations of mobile devices. Based on the designating of the movement feasibility corroboration factor, the geolocation authentication system determines a first reported geolocation of a mobile device associated with a first time and a second reported geolocation of the mobile device associated with a second time. Given that the mobile device is located at a true geolocation at the second time, the geolocation authentication system then determines, based on the first and second reported geolocations of the mobile device, a feasibility metric indicative of a likelihood that the second reported geolocation of the mobile device is the true geolocation at the second time. Corresponding methods and systems are also disclosed.

Abstract: Systems and methods for mobile platform localization for a mobile platform. The system includes three independent ultra-wideband (UWB) sensors mounted on the mobile platform and a UWB localization module operationally coupled to the first UWB sensor, the second UWB sensor, and the third UWB sensor, and programmed by programming instructions to: identify first beacon UWB transmissions from a first beacon external to the mobile platform and generate a spatial location of the first beacon; identify second beacon UWB transmissions from a second beacon external to the mobile platform and generate a spatial location of the second beacon; identify third beacon UWB transmissions from a third beacon located external to the mobile platform; and generate a spatial location of the mobile platform, as a function of the spatial location of the first beacon, the spatial location of the second beacon, and the spatial location of the third beacon.

Abstract: Systems and methods for locating a position of a target object (110, 210, 410) are provided. The target object can be equipped with a plurality of spatially distributed antennas (220a, 220b, 420a, 420b), and can be located within a network of a plurality of anchors (105, 305, 505) at fixed locations. A plurality of anchor pairs (105a, 105b, 305a, 305b, 505a, 505b) can be assigned. Each anchor pair can include at least two anchors. The anchor pairs can transmit and receive range request, REQ, and range response, RSP, packets (1210,1215,1220). The REQ and RSP packets can be received by the antennas on the target object (1225,1230). Distance differences between the target object to the first anchor and from the target object to the second anchor of each anchor pair can be estimated (1235), based on times at which the REQ packet and the RSP packet are received at the target object. The position of the target object can be estimated based on the distance differences (1240).

Abstract: A tire pressure monitoring system used for a vehicle includes a sensor unit, a receiving device, and a control device. The sensor unit is provided at each wheel of the vehicle, detects tire pressure of the each wheel with a tire pressure sensor and transmits data of the detected tire pressure by radio waves. The receiving device includes a receiving antenna that is provided at an outside of the vehicle to receive the data of the tire pressure transmitted from the sensor unit. The control device includes a data acquisition unit that acquires the data of the tire pressure received by the receiving device.

Abstract: A split architecture is disclosed for determining the location of a wireless device in a heterogeneous wireless communications environment. A detector within the device or another component of the environment receives signals including parameters for a localization signal of the device. The parameters describe known in advance signals within the signals. Additional metadata including each frame start of the signals and assistance data and auxiliary information are also received. The known in advance signals are detected based on the parameters of the localization signal. Samples extracted from the known in advance signals are then processed and compressed and sent with other collect data to a locate server remote from the detector. The location server uses that information as well as similar information about the environment to calculate the location of the device, as well as perform tracking and navigation of the device, and report such results to the environment.

Abstract: Systems and methods for determining user equipment (UE) locations within a wireless network using reference signals of the wireless network are described. The disclosed systems and methods utilize a plurality of in-phase and quadrature (I/Q) samples generated from signals provided by receive channels associated with two or more antennas of the wireless system. Based on received reference signal parameters the reference signal within the signals from each receive channel among the receive channels is identified. Based on the identified reference signal from each receive channel, an angle of arrival between a baseline of the two or more antennas and incident energy from the UE to the two or more antennas is determined. That angle of arrival is then used to calculate the location of the UE. The angle of arrival may be a horizontal angle of arrival and/or a vertical angle of arrival.

Abstract: The embodiments described herein provide ranging capabilities in RF-opaque environments, such as a jungle, utilizing transponders located on a property line. In particular, the embodiments described herein provide for determining a perpendicular distance to a property line from a ranging device. The transponders are located on the property line and a separated from each other by a known distance. The ranging device transmits RF signals to the transponders, which are received by the transponders and re-broadcasted back to the ranging device on a different frequency. The ranging device uses information about the transmitted and received RF signals and the known distance to calculate a perpendicular distance from the ranging device to the property line.

Abstract: An identification device is provided having an optical detector (1), a controller (5) and an identification transmitter unit (6), wherein the optical detector (1) has a detection area with an identification pattern partially covering the detection area and the controller (5) is designed to interact with the detector (1) and the identification transmitter unit (6) in such a manner that the identification transmitter unit (6) can be activated to transmit an identification signal depending on an analysis of the temporal sequence of measurement signals from the detector (1). A method is also provided for identifying an object by an identification system.

Abstract: A method of controlling a guide machine and a navigation system. The navigation system includes: a plurality of signal sources deployed in a predetermined area; a guide machine including a signal receiver arranged to receive electromagnetic signals emitted from one or more of the plurality of signal sources; and a processor arranged to process the electromagnetic signals to identify the locations of the signal sources, and thereby to determine a current position of the guide machine with reference to the locations of the signal sources; and the processor is further arranged to determine a path for the guide machine to travel from the current position to a destination location in the predetermined area.

Abstract: A terminal area noise management method includes receiving, at a processor, aircraft information for an aircraft operating in a region in proximity to an airport; accessing a plurality of terminal area flight paths available to the aircraft; estimating a plurality of noise profiles for the aircraft, one estimated noise profile for the aircraft for each of the plurality of flight paths; calculating a plurality of cumulative noise fairness measures using each estimated noise profile; calculating a plurality of operational efficiency values for the aircraft, one or more of the calculated operational efficiency values for the aircraft for each of the flight paths; calculating a plurality of cumulative operational fairness measures using each of the calculated operational efficiency values; and selecting a flight path for the aircraft based on maximizing a cumulative noise fairness measure and a cumulative operational fairness measure.

Abstract: An electronic device includes a memory circuitry, a processor circuitry, a wireless interface, and one or more sensors. The processor circuitry is configured to obtain sensor data from the one or more sensors. The processor circuitry is configured to determine mobility data based on the sensor data. The processor circuitry is configured to control, based on the sensor data, transmission of a positioning message including the mobility data, via the wireless interface, to a location server device.

Abstract: In a target identification device, an acquisition unit is configured to acquire trajectory information including information on a movement trajectory of a moving object in the surroundings of a vehicle. A calculation unit is configured to calculate a likelihood for each type of moving object from the trajectory information by using a plurality of models predefined for each type of moving object. A target identification unit is configured to identify the type of the moving object according to the likelihood calculated by the calculation unit.

Abstract: A plurality of smart city devices are configured using an application running on a mobile device. The method includes installing a particular smart city device and automatically identifying a geo-location of the particular smart city device by identifying a current geo-location of the mobile device using a location service of the mobile device. Configuration information for the particular smart city device is entered using a user interface of the mobile device. The geo-location and the configuration information of the particular smart city device are saved in the mobile device. The installing, entering, recognizing and storing steps are repeated for each of a number of the plurality of smart city devices. The saved geo-location and the configuration information for each of the number of smart city devices are uploaded from the mobile device to a remote server.

Abstract: An array antenna configured to be placed at a determined position above the ground surface. The array antenna is assembled by a plurality of unmanned aerial vehicles (UAVs), each UAV carrying one or more antenna elements of the array antenna. The plurality of UAVs configured to create a defined formation at the determined position above the ground and thereby align the one or more antenna elements carried by the UAVs to form the array antenna. The array antenna configured to receive electromagnetic signals reflected from a region of interest, or from one or more objects, within its line of sight.

Abstract: A method for location finding includes detecting a respective phase difference between the received radio signals that are associated with each of the multiple antennas of each of the fixed transceivers. One or more respective angles are computed between each of the fixed transceivers and the mobile transceiver based on the respective phase differences. Location coordinates of the mobile transceiver are found based on the angles and the transmit locations of the transmitters.

Abstract: Systems and methods for determining a location of one or more user equipment (UE) in a wireless system can comprise receiving reference signals via a location management unit having two or more co-located channels, wherein the two or more co-located channels are tightly synchronized with each other and utilizing the received reference signals to calculate a location of at least one UE among the one or more UE. Embodiments include multichannel synchronization with a standard deviation of less than or equal 10 ns. Embodiments can include two LMUs, with each LMU having internal synchronization, or one LMU with tightly synchronized signals.

Abstract: The disclosed embodiments provide for management of a Wi-Fi network in the presence of a high priority receiver. When a high priory receiver is identified, a portion of the Wi-Fi network that could potentially interfere with the high priority receiver is identified and steps are taken to reduce the probability of such interference. For example, some wireless transmitters may be switched to alternate channels to reduce the probability of interference. By sharing information relating to high priority receivers across a plurality of wireless transmitters, the disclosed embodiments provide for more efficient operation in the presence of high priority receivers when compared to methods that independently detect a high priority receiver at each wireless transmitter.

Abstract: A system includes reception of a set of time-series data from each of a plurality of sensors, each of the plurality of sensors associated with one of a plurality of hardware devices, determination of a plurality of clusters based on the sets of time-series data, assignment of each set of time-series data to one of the plurality of clusters, and determination of associations between the plurality of hardware devices based on the assignments of time-series data to clusters.

Abstract: A method, a device, and a computer program product for managing a mobile terminal are provided. In one method, a first position of the mobile terminal at a first time point and a first signal quality of a mobile network signal of the mobile network at the first position are detected, respectively; a signal quality distribution of the mobile network signal in a surrounding area of the first position is acquired; a prediction of a second signal quality of a mobile network signal to be received by the mobile terminal at a second time point is obtained according to the signal quality distribution, the second time point being a future time point after the first time point; and according to the first signal quality and the prediction of the second signal quality, a second service quality to be provided to the mobile terminal at the second time point is determined.

Abstract: Aspects of the subject disclosure may include, for example, obtaining user input identifying a first user-identified network feature of a training image of a geographical region. The training image and the user-identified feature are provided to a neural network adapted to train itself according to the user-identified features to obtain a first trained result that classifies objects within the image according to the user-identified feature. The training image and the first trained result are displayed, and user-initiated feedback is obtained to determine whether a training requirement has been satisfied. If not satisfied, the user-initiated feedback is provided to the neural network, which retrains itself according to the feedback to obtain a second trained result that identifies an updated machine-recognized feature of the training image. The process is repeated until a training requirement has been satisfied, after which a map is annotated according to the machine-recognized feature.

Abstract: Wireless local area network (WLAN) field coverage is analyzed in a venue. A mobile data capture device measures coverage data indicative of the WLAN field coverage from a plurality of locations in the venue, and also captures image data indicative of images of the locations in the venue. A controller correlates the measured coverage data and the captured image data at each location. An interface displays the captured image data correlated with the measured coverage data at each location. Impact score value data indicative of the WLAN field coverage may also be determined, correlated, and displayed for each location.

Abstract: A method of training a predictor to predict a location of a computing device in an indoor environment incudes: receiving training data including strength of signals received from wireless access points at positions of an indoor environment, where the training data includes: a subset of labeled data including signal strength values and location labels; and a subset of unlabeled data including signal strength values and not including labels indicative of locations; training a variational autoencoder to minimize a reconstruction loss of the signal strength values of the training data, where the variational autoencoder includes encoder neural networks and decoder neural networks; and training a classification neural network to minimize a prediction loss on the labeled data, where the classification neural network generates a predicted location based on the latent variable, and where the encoder neural networks and the classification neural network form the predictor.

Abstract: A method of processing incoming signals, such as RF signals, includes receiving the incoming RF signals at two (or more) spatially-separated receivers, then processing the signals to determine a phase lag between the two signals. This allows a presumed location of the signal source to be determined, based on the time difference of arrival (TDOA) of signals at the separated receivers. This can be used to produce a phase adjustment of one of the signals, allowing the signals to be coherently summed. The coherently summed combined signal is then examined for instances where a threshold magnitude is exceeded. This information is then used to create a blanking mask, which is then employed as a filter to incoming signals, to blank out non-coherent signals, such as noise and extraneous signals from sources that are not of interest. The blanked signal train is then examined/analyzed for constant pulse repetitions.