Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of performing angular estimation using machine learning. In particular, a radar system 102 includes an angle-estimation module 504 that employs machine learning to estimate an angular position of one or more objects (e.g., users). By analyzing an irregular shape of the radar system 102's spatial response across a wide field of view, the angle-estimation module 504 can resolve angular ambiguities that may be present based on the angle to the object or based on a design of the radar system 102 to correctly identify the angular position of the object. Using machine-learning techniques, the radar system 102 can achieve a high probability of detection and a low false-alarm rate for a variety of different antenna element spacings and frequencies.

Abstract: A system may perform adaptive target presence probability to predict a location of a user (e.g., target) at a given time based on accumulated observations. For example, the system may track a location of the user over time and generate observation data associated with a user profile. The observation data may include a plurality of observations, with a single observation corresponding to a location and time at which the user was detected. The system may apply a clustering algorithm to the observation data to generate probability distributions (e.g., clusters) associated with discrete locations. For example, the system may group observations that are in proximity to each other and separate the groups based on location. Using the probability distribution for an individual cluster, the system may determine a likelihood that the user is present at a location corresponding to the cluster.

Abstract: Systems and methods for detecting, monitoring, and mitigating the presence of a drone are provided herein. In one aspect, a system for detecting presence of a drone includes a radio-frequency (RF) receiver configured to receive an RF signal transmitted between a drone and a controller. The RF signal includes a synchronization signal for synchronization of the RF signal. The system can further include a processor and a computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the at least one processor to receive a sequence of samples from the RF receiver, obtain a double differential of the received sequence of samples, calculate a running sum of a defined number of the double differential of the received sequence of samples, and detect the presence of the drone based on the running sum.

Abstract: A Launch Acceptability Region [LAR] display system and method for a payload-releasing platform, the system being configured to be communicably coupled to a LAR computing module (104) configured to compute LAR data representative of a Launch Acceptability Region in respect of said platform based on a set of input parameters and predefined payload performance parameters, the system comprising: —an input module (100) configured to obtain or receive a first input parameter value in respect of a first of said input parameters, generate a set of second input parameter values in respect of said first of said input parameters, said second input parameter values being different to and at respective intervals from, said first input parameter value, and input said first input parameter value and said second input parameter values to said LAR computing module so as to cause said LAR computing module to compute, based on each of said first and second input parameter values, a respective LAR and output a set of LAR data, e

Abstract: A technique of estimating a surrounding environment with higher accuracy from observation data obtained by using sensing equipment is disclosed. According to the technique, a certain pixel in an observation data space which includes the observation data obtained by a sensor 50 is sampled. With regard to the sampled pixel, a grid-unspecified logarithm-likelihood ratio indicating whether a received signal is a signal reflected from a detected object is calculated from an intensity value of the received signal, and a distribution function of an angle indicating the degree of dispersion centering on an azimuth angle is calculated. Then, the product of the grid-unspecified logarithm-likelihood ratio and the distribution function is calculated and thereby a calculation for updating an occupation probability of the object is performed across a plurality of grids in an occupancy grid map by using a value obtained by dispersing the likelihood using the distribution function.

Abstract: Impact analysis of an object is performed by selecting an object and determining impacted objects corresponding to the object. A type of the object is determined. A query is formulated and executed to retrieve relationship objects from a relationship table matching the type of the selected object. Nested properties associated with the relationship objects for the individual relationship objects are determined iteratively. A parent property associated with the nested properties is identified. A query is formulated and executed to fetch dependent values corresponding to the dependent values. The dependent values are added to a list. A query is formulated and executed to determine impacted objects corresponding to the dependent values. The impacted objects are displayed in a graphical chart.

Abstract: A test and measurement instrument processes digital data that represents an input signal to produce a target image, and then uses a computer vision technique to recognize a signal depicted within the target image. In some embodiments, the location of the signal within the target image is identified on a display device. In other embodiments, the location of the signal within the target image is used to perform a measurement. In other embodiments, when the signal is recognized, a trigger signal is generated that causes digital data that represents the input signal to be stored in a memory.

Abstract: A system and method of training antennas for two devices having heterogeneous antenna configurations in a wireless network is disclosed. The method includes communicating one or more estimation training sequences between two devices via a phased array antenna and a switched array antenna, wherein a beamforming vector of the phased array antenna is switched between phase vectors within a set of weight vectors while the switched array antenna is switched within a plurality of antenna sectors. The method further includes tuning at least one of the phase array and switched array antennas with an antenna parameter selected based at least in part on the one or more estimation training sequences. The method further includes communicating data messages via at least one of the phase array and switched array antennas so tuned.

Abstract: Disclosed are various embodiments for determining a source of malware. At least one embodiment of a method includes receiving browsing data from a plurality of client devices, the data being sent by the plurality of client devices, in response to a determination of malware on the plurality of client devices and determining, from the browsing data, a source for the malware. Further, some embodiments include determining whether the source for the malware is associated with a predetermined network site and in response to determining that the source of the malware is associated with a predetermined network site, preventing download of at least a portion of the predetermined network site.

Abstract: A method in a radio base station for transforming a data transmission signal in a radio communications network. The radio base station is connected to an active antenna array of a first number of active transmitting antennas, which each active transmitting antenna comprises sub elements. The radio base station comprises a precoder codebook comprising precoders for transmitting signals in a diversified manner for a second number of antenna ports. The radio base station precodes the data transmission signal with a precoder selected from the precoder codebook. The radio base station furthermore transforms, linearly, the precoded data transmission signal by neutralizing a direction of the precoded data transmission signal and then directing the precoded data transmission signal vertically. The precoded data transmission signal is thereby enabled to be vertically adjusted towards a user equipment in the radio communications network.

Abstract: Herein is presented, a low power on-die 60 GHz distribution network for a beamforming system that can be scaled as the number of transmitters increases. The transmission line based power splitters and quadrature hybrids whose size would be proportional to a quarter wavelength (˜600 ?m) if formed using transmission lines are instead constructed by inductors/capacitors and reduce the area by more than 80%. An input in-phase I clock and an input quadrature Q clock are combined into a single composite clock waveform locking the phase relation between the in-phase I clock and quadrature Q clock. The composite clock is transferred over a single transmission line formed using a Co-planar Waveguide (CPW) coupling the source and destination locations over the surface of a die. Once the individuals the in-phase I and quadrature Q clocks are required, they can be generated at the destination from the composite clock waveform.

Abstract: Systems and methods are disclosed for identifying associations between binary samples, such as e-mail files and their attachments or a document and an executable program associated with the document. In one implementation, the method includes receiving a plurality of binary samples, and extracting metadata from the plurality of binary samples. The metadata for a binary sample from the plurality of binary samples includes a set of attributes of the binary sample. The method further includes identifying a set of associations between the plurality of binary samples based on the extracted metadata. Each association is characterized by at least one attribute the associated binary samples have in common, and each association has a confidence level indicative of a strength of the association. The method also includes identifying associations with a confidence level that exceeds a predefined threshold.

Abstract: A method of detecting movement includes using a radar sensor to monitor a space, and receiving an output signal from the radar sensor. A Fourier transform is performed on the output signal to produce a frequency domain signal spectrum. The frequency domain signal spectrum is transformed into an acoustic domain signal. It is decided whether the output signal is indicative of movement of a predetermined object or a non-human animal dependent upon at least one feature of the acoustic domain signal and at least one spectral feature of the signal spectrum.

Abstract: A mobile station is arranged to determine its location, which is searched against street addresses from a database, and at least one matching street address is retrieved. The street address is searched on the mobile station and/or over the network. The search engine conducts a search in the mobile station file system and/or the Internet and/or a file system over the network with the at least one query term, —at least one search result is arranged to be displayed to user on the screen of the mobile station. This facilitates on-demand effortless Mobile Internet Search that allows the users to access opportunities that they did not know about, or would not have had time to find out about with minimum effort as the software of the mobile phone is scanning the Internet and information pages for these opportunities and displaying the results dynamically on the mobile phone screen.

Abstract: Apparatuses and methods for transmission and reception in a Closed-Loop (CL)-Multiple Input Multiple Output (MIMO) system are provided. A codebook generation method includes determining weight vectors vi (i=1, . . . , 2L) for a codebook V(4, 1, L), where Nt of a codebook V(Nt, s, L) denotes a number of antennas, s denotes a number of streams, and L denotes a number of codebook index bits, determining a unitary matrix Ti using an i-th vector vi of the codebook V(4, 1, L), and determining an i-th matrix of the codebook V(4, 2, L) by selecting a first column of the unitary matrix Ti as a first column of a weight matrix and selecting a column selected from other columns excluding the first column of the unitary matrix Ti in a particular pattern, as a second column of the weight matrix.

Abstract: A mobile station is arranged to determine its location, which is searched against street addresses from a database, and at least one matching street address is retrieved. The street address is searched on the mobile station and/or over the network. The search engine conducts a search in the mobile station file system and/or the Internet and/or a file system over the network with the at least one query term, —at least one search result is arranged to be displayed to user on the screen of the mobile station. This facilitates on-demand effortless Mobile Internet Search that allows the users to access opportunities that they did not know about, or would not have had time to find out about with minimum effort as the software of the mobile phone is scanning the Internet and information pages for these opportunities and displaying the results dynamically on the mobile phone screen.

Abstract: The present invention relates to a machine implemented method for spectral analysis that determines a measure of cross coherence between application of two spectral estimation filters to data; and identifies a spectral feature of the measure of cross coherence. One example embodiment of the present invention provides a complete statistical summary of the joint dependence of the Bartlett and Capon power spectral statistics, showing that the coupling is expressible via a 2×2 complex Wishart matrix, where the degree coupling is determined by a single measure of cross coherence defined herein. This measure of coherence leads to a new two-dimensional algorithm capable of yielding significantly better resolution than the Capon algorithm, often commensurate with but at times exceeding finite sample based MUSIC.

Abstract: Disclosed are various embodiments for determining a source of malware. At least one embodiment of a method includes receiving browsing data from a plurality of client devices, the data being sent by the plurality of client devices, in response to a determination of malware on the plurality of client devices and determining, from the browsing data, a source for the malware. Further, some embodiments include determining whether the source for the malware is associated with a predetermined network site and in response to determining that the source of the malware is associated with a predetermined network site, preventing download of at least a portion of the predetermined network site.

Abstract: A radio base station according to the present invention is equipped with a determination unit that compares a first signal quality of a first output signal which is output by an adaptive array antenna and a second signal quality of a second output signal which is output by an adaptive equalizer and determines whether the improvement effect of the second signal quality with respect to the first signal quality is below expectation. When the determination unit determines that the improvement effect is below expectation, a controller stops power supply to the adaptive equalizer and the calculation of an equalization weight by a weight calculator, and outputs the first output signal as the output signal of a receiver.

Abstract: A method and apparatus for a communication system having a first transceiver device having a first plurality of antennas and a second transceiver device having a second plurality of antennas determines a channel estimation matrix describing a forward channel in which a signal travels from the first transceiver device to the second transceiver device. The channel estimation matrix is decomposed to derive a unitary matrix and an upper triangular matrix. A precoding matrix is developed using the upper triangular matrix, and the precoding matrix is used to control transmission of a modulated signal.

Abstract: In a signal processing system, a set of channel signals from an array of sensors of different operating characteristics are processed in calibration circuitry that calculates individual average values of the channel signals and calculates an average of the individual average values of channel signals as a reference value. Reciprocal calculators calculate reciprocal values of the individual average values of the channel signals. Scaling circuitry scales the reciprocal values by the reference value to produce a set of amplitude calibration signals and scales the channel signals by the calibration signals respectively. As a result, the channel signals are normalized by their own average values and scaled by the reference value to produce a set of calibrated channel signals.

Abstract: In a signal processing system, a set of channel signals from an array of sensors of different operating characteristics are processed in calibration circuitry that calculates individual average values of the channel signals and calculates an average of the individual average values of channel signals as a reference value. Reciprocal calculators calculate reciprocal values of the individual average values of the channel signals. Scaling circuitry scales the reciprocal values by the reference value to produce a set of amplitude calibration signals and scales the channel signals by the calibration signals respectively. As a result, the channel signals are normalized by their own average values and scaled by the reference value to produce a set of calibrated channel signals.

Abstract: In a signal processing system, a set of channel signals from an array of sensors of different operating characteristics are processed in calibration circuitry that calculates individual average values of the channel signals and calculates an average of the individual average values of channel signals as a reference value. Reciprocal calculators calculate reciprocal values of the individual average values of the channel signals. Scaling circuitry scales the reciprocal values by the reference value to produce a set of amplitude calibration signals and scales the channel signals by the calibration signals respectively. As a result, the channel signals are normalized by their own average values and scaled by the reference value to produce a set of calibrated channel signals.

Abstract: A system for communicating through a multicarrier communication channel estimates a channel transfer function Hnm(K) each of a plurality of subcarriers of a multicarrier communication channel from received training signals. The system also estimates a spatial correlation matrix Rnn(k) for each subcarrier from noise and interference samples obtained during the reception of the training signals through two or more receive-signal paths. Receiver and transmitter beamformer weights may be generated for the subcarriers using the channel transfer function Hnm(k) and the spatial correlation matrices Rnn(k) for use in subsequent communication through the channel.

Abstract: Method for lane keeping support in motor vehicles, in which a setpoint value for the lateral position of the vehicle is determined, the actual position of the vehicle in relation to the boundaries of the lane in which the host vehicle is traveling is detected by a sensor device and an output signal for the lane keeping support is calculated by a setpoint-actual comparison, wherein objects are tracked in at least one neighboring lane and a setpoint value for the lateral position is varied as a function of tracking data of these objects.

Abstract: An apparatus and method for detecting a space-time multi-user signal are disclosed. The apparatus includes: an RF/IF processing unit for converting received signals through an array antenna into digital baseband signals; a splitting unit for dividing the digital baseband signals into data signals and reference signals; a estimating unit for estimating a delay time information and a channel impulse response; a vector generating unit for receiving the reference signals and the delay time information of to thereby generate a beamforming weight vector; a matrix generating unit for receiving the channel impulse response and the beamforming weight vector to there by generate a system matrix; a filtering unit for receiving the data signals and the system matrix to multiply the system matrix to data per each antenna; a antenna combining unit for combining signals outputted from the filtering unit; and an interference cancelling unit for cancelling an interference signal.

Abstract: The present invention relates to a method for determining the precompensated pattern of exposure doses of an electron beam required per pattern position to obtain a desired pattern in a coating on a substrate, comprising the steps of: determining a smearing function of the electron beam; determining a precompensated pattern with the smearing function and the desired pattern, wherein the determination is performed such that exposure doses contain almost exclusively positive values and the exposure doses are smooth relative to each other.

Abstract: A combat pilot system for an aircraft comprises corresponding combat pilot devices 12, 12′ provided in a runtime module 14 on board the aircraft and a ground-based system training module 16 respectively. The run-time module 12′ is trained using model data generated simulation model 18 as well as feedback data from actual missile firings. The matrix of weights derived from the training routines are then programmed into the neural network in the corresponding combat pilot aid system 12 on board the aircraft so that the runtime module is capable of processing the input data producing the four parameters required for launch of a missile and also a FIRE/NO FIRE indication to the pilot.

Abstract: Signal separation processing includes a signal separation architecture defining a relationship between at least one input signal and at least one output signal. The signal separation architecture includes a state space representation that establishes a relationship between the input and output signals. At least one output signal is based on the signal separation architecture.

Abstract: An apparatus and method for controlling trajectory of an object (47) to a first predetermined position. The apparatus has an input layer (22) having nodes (22a-22f) for receiving input data indicative of the first predetermined position. First weighted connections (28) are connected to the nodes of the input layer (22). Each of the first weighted connections (28) have a coefficient for weighting the input data. An output layer (26) having nodes (26a-26e) connected to the first weighted connections (28) determines trajectory data based upon the first weighted input data. The trajectory of the object is controlled based upon the determined trajectory data.

Abstract: An apparatus and method for controlling trajectory of an object (47) to a first predetermined position. The apparatus has an input layer (22) having nodes (22a-22f) for receiving input data indicative of the first predetermined position. First weighted connections (28) are connected to the nodes of the input layer (22). Each of the first weighted connections (28) have a coefficient for weighting the input data. An output layer (26) having nodes (26a-26e) connected to the first weighted connections (28) determines trajectory data based upon the first weighted input data. The trajectory of the object is controlled based upon the determined trajectory data.

Abstract: A system is disclosed that provides. a sonar operator with the most likely range to a target of interest. The system generates and displays a contour based on ship's parameters, target parameters, environmental data, and operator parameters. The sonar operator can vary many of the parameters in “what if” scenarios so as to generate groups of contours for preselected probabilities of detection. Contours can be used to show the actions that should be taken to ensure a favorable outcome.

Abstract: A method and an apparatus for diagnosis of sensors and/or processes through use of Bayesian belief networks. More specifically, the method and apparatus of the present invention achieve sensor and/or process fault detection, isolation, and accommodation.

Abstract: A method for positioning plural electromagnetic sensors in an array including the steps of: (1) designating one of the two sensors of the plural sensors that are a greatest distance apart as a point of origin of a reference system, (2) encoding in genotype form, the coordinates of the sensors relative to the reference system, and (3) applying a genetic algorithm to the encoded genotypes to obtain a given phenotype associated with a desired pattern. The method can be applied to the optimization of antenna arrays, especially planar or linear arrays.

Abstract: A likelihood of detecting a reflected signal characterized by phase discontinuities and background noise is enhanced by utilizing neural networks to identify coherency intervals. The received signal is processed into a predetermined format such as a digital time series. Neural networks perform different tests over arbitrary testing intervals to determine the likelihood of a phase discontinuity occurring in any such interval. An integration time generator subsequently uses this information to define a series of contiguous coherency intervals over the duration of the received signal. These coherency intervals are then used for piece-wise processing of the received signal by parallel quadrature receivers. The outputs are combined and processed for detecting the presence of the reflected signal.