Abstract: A method for type state estimation of a user equipment connected to a wireless communication network. The method comprises updating, recursively, of a type state estimate. The type state estimate is a probability for the user equipment to be a drone conditioned on obtained kinematic state estimate updates concerning the user equipment. The user equipment is assigned to be a drone as a response on the type state estimate exceeding a threshold.

Abstract: A method for sharing user equipment state estimates between nodes within a wireless communication network comprises initiating of transmission of at least one of obtained user equipment kinematic state estimate information and obtained user equipment type state estimate information to a receiving network node as a response to an obtained indication of a need for sharing user equipment state estimates. The obtained user equipment kinematic state estimate information comprising a latest kinematic state update time, as well as mode state vector estimates, mode covariance matrices and mode probabilities for at least one user equipment kinematic mode. The obtained user equipment type state estimate information comprising a latest type state update time and a type state probability estimate. A method for receiving and propagating the user equipment state estimates, and devices for both methods are also disclosed.

Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

Abstract: A position measurement device which includes: a storage unit that stores area information for setting a first region along a boundary of the specific area; an area setting unit that acquires the area information from the storage unit and sets the first region on the basis of the acquired area information; and a position measurement unit that acquires the first region from the area setting unit, sets the acquired first region as a verification region, measures the position of the object located in the verification region, and updates the area information stored in the storage unit.

Abstract: Disclosed is a technique for processing signals received from a radar and, in particular, a technique for tracking a target on the basis of detected target candidate signals. The proposed invention introduces a recurrent neural network with a memory function in order to find a target signal from signals with noise and fake signals mixed therein. This recurrent neural network is trained to have a maximum of Q tracking buffers therein. According to an additional aspect, it is possible to increase tracking accuracy through a serial connection of the recurrent neural network. According to an additional aspect, it is possible to track multiple targets through a parallel connection of the recurrent neural network.

Abstract: A method for monitoring a primary variable is carried out in a device having access to a set of sensors. The method includes the steps of receiving, from a network service, a series of forecasted values for the primary variable, each forecasted value being associated with one of a series of future time points; for at least one of the future time points, predicting a value for the primary variable using data of at least one secondary variable captured by a subset of the set of sensors, comparing the predicted value to the forecasted value associated with the future time point, and switching to a different subset of the set of sensors, if the predicted value deviates from the forecasted value with more than a specified threshold value.

Abstract: Disclosed are systems and methods of sensor fusion for exemplary use with robotic navigation control. Systems and methods include providing local estimates of a target location from a plurality of expert modules that process sensor data. The local estimates are weighted based upon a Mahalanobis distance from an expected estimated value and based upon a Euclidean distance between the local estimates. The local estimates are fused in a Bayesian fusion center based upon the weight given to each of the local estimates.

Abstract: Embodiments of the present disclosure disclose a method and an apparatus for determining a static state of an obstacle, a device and a storage medium. The method includes the following. Real-time obstacle velocities are obtained by detecting an obstacle via at least two sensors. A belief function assignment value of each sensor is calculated for at least two status parameters respectively according to the real-time obstacle velocity corresponding to each sensor. The belief function assignment value of each sensor is fused for each status parameter with a D-S evidence combination technology to obtain a fused belief function assignment value corresponding to each status parameter. A static state of the obstacle is judged according to the fused belief function assignment value corresponding to each status parameter.

Abstract: In one aspect, a retail store includes a multitude of cameras, including a plurality of 3D cameras, and a plurality of other cameras. Certain of the cameras provide imagery from which a shopper's track through the store is monitored, and certain of the cameras are positioned to detect removal of items from store shelves. The store also includes a computer system that provides a database of information about store layout, indicating stock locations of different items. The computer system receives imagery from the cameras (or information derived from such imagery) and uses this data, together with information from the database and information derived from other sensors in the store, to produce a probabilistic tally of items selected by a store shopper. This tally includes an item bearing a barcode, but is produced without reading the barcode. Each item on the tally is associated with a confidence score that meets a computer system-determined threshold.

Abstract: An apparatus comprising circuitry configured to transfer motion information obtained from a plurality of sensors of different or similar type to a common representation.

Abstract: The invention relates to improving rendering display during streaming of timed media data comprising images, between a server apparatus and a client apparatus. After having obtained a quality information related to a quality disparity between portions of an image of the timed media data, at least a first and a second item of data belonging to at least a first and a second portion of an image to be at least partially displayed, respectively, the quality disparity between the portions of image corresponding to the first and second items of data being compliant with the obtained quality information, are transmitted.

Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

Abstract: Disclosed here are system, apparatus, article of manufacture, method and/or computer program product embodiments for track association. An embodiment operates by receiving a first set of track identification data from a first tracking system. The first set of track identification data is associated with a global track identifier (GID). The first set of track identification data associated with the GID is broadcasted to the first tracking system and a second tracking system. A second set of track identification data is received from the second tracking system. The second set of track identification data identifies any tracks of the second tracking system that match the first set of track identification data. The GID is associated with the second set of track identification data.

Abstract: A system for tracking targets. A sequence of sensor observations is processed with two thresholds, including a first threshold, and a second threshold, higher than the first threshold. Signals that exceed the first threshold are identified as low-confidence target detections and stored for possible future use. When a signal exceeds the higher second threshold, it is identified as a high-confidence detection, and one or more candidate tracks are formed, including the high-confidence detection and one or more low-confidence detections from within a neighborhood of the high-confidence detection.

Abstract: A computer-implemented method for improving range finding system such as LIDAR, sonar, depth camera, and the like distance readings during instances when the range finding system is tilted. A range finding system continuously takes distance measurements to surfaces opposite the range finding system. As the range finding system is moved toward (or away from) stationary surfaces, a processor examines the successive measurements taken by the range finding system. If the measurements reflect a steady decline (or increase) in distances, readings will be accepted as normal and the system will continue to operate normally. If the measurements reflect a steady decline (or increase) in distances interrupted by measurements at least a predetermined amount or percentage greater than the measurements immediately before and after the interruption, the interrupting measurements are flagged and discarded.

Abstract: Techniques and examples pertaining to vehicle odometry using one or more radars disposed on a vehicle are described. A method for radar odometry may involve receiving, by a processor from the radars, measurement data of stationary objects and moving objects that are located in an environment a vehicle is traversing. The method may also involve performing, by the processor, a random sample consensus (RANSAC) calculation to select the measurement data of the stationary objects and disregard the measurement data of the moving objects. The method may also involve calculating, by the processor, one or more dynamic variables of the vehicle based on the measurement data of the stationary objects. The proposed method processes the measurement data of the stationary objects with one single RANSAC calculation and one least squares problem solving, thereby greatly reducing computation cost and time as well as latency in operation for providing the vehicle odometry.

Abstract: A method of determining the de-aliased range rate of a target in a horizontal plane by a host vehicle equipped with a radar system, said radar system including a radar sensor unit adapted to receive signals emitted from said host vehicle and reflected by said target, comprising: emitting a radar signal at a single time-point instance and determining from a plurality (m) of point radar detections measurements therefrom captured from said radar sensor unit, the values for each point detection of, azimuth and range rate; [?i, {dot over (r)}i]; for each point detection determining a range rate compensated value ({dot over (r)}i,cmp); c) determining a plurality (j) of velocity profile hypotheses; for each (j-th) hypothesis determining modified compensated hypothesis range rates ({dot over (r)}i,j,cmp) in respect of each point detection on the target, based on the values of range rate compensated ({dot over (r)}i,cmp); for each j-th hypothesis, determining values of the longitudinal and lateral components of the ra

Abstract: Disclosed here are system, apparatus, article of manufacture, method and/or computer program product embodiments for track association. An embodiment operates by receiving a first set of track identification data from a first tracking system. The first set of track identification data is associated with a global track identifier (GID). The first set of track identification data associated with the GID is broadcasted to the first tracking system and a second tracking system. A second set of track identification data is received from the second tracking system. The second set of track identification data identifies any tracks of the second tracking system that match the first set of track identification data. The GID is associated with the second set of track identification data.

Abstract: A variety of technologies having practical application in retail stores are detailed. One is an improved method of identifying items selected by customers. This method includes receiving sensor data from plural sensors, including (a) ceiling-mounted cameras that monitor tracks of customers through aisles of the store, and (b) inventory sensors that are positioned to monitor removal of stock from store shelves. This received sensor data is employed in evaluating plural alternate item identification hypotheses. These hypotheses include a first hypothesis that a customer selected an item having a first identity, and a second hypothesis that the customer selected an item having a second identity. A confidence score is associated with each of the first and second item selection hypotheses. These confidence scores are refined as sensor data is received, e.g., increasing a confidence score of one hypothesis, and reducing a confidence score of another.

Abstract: A system that displays geographic data is disclosed. The system obtains polygons that define a set of geographic regions. Then, the system projects rays from endpoints of the line segments that define the polygons onto a reference line to form intersection points. For each interval between pairs of consecutive intersection points on the reference line, the system keeps track of open line segments that project onto the interval. For each data point in a set of data points, the system identifies a relevant interval on the reference line that the data point projects onto, and performs a crossing number operation to identify polygons that the data point falls into, and the system increments a count for each polygon that the data point falls into. Finally, the system displays the set of geographic regions in a manner that indicates a number of data points that fall into each geographic region.

Abstract: Velocity controllers in accordance with embodiments of the invention enable velocity estimation for tracked objects. One embodiment includes a tracker controller, including: a processor; and a memory containing: a velocity tracker application; a state space describing relationships between measured locations, calculated locations, and changes in locations, where the calculated locations in the state space correspond to unoccluded points on the surface of the tracked object; wherein the processor is configured by the velocity tracker application to: pre-process the state space to identify a tracked object; estimate a velocity of the tracked object using a location history calculated from the measured locations of the tracked object within the state space and a motion model calculated from the state space; and return the velocity of the tracked object.

Abstract: A system and method for tracking an object receive electronic intelligence (ELINT) track information related to the object and radar track information. A first likelihood that the radar track information is also related to the object is determined at a first time of the ELINT track information and a first time of the radar track information. A second likelihood that the radar track information is also related to the object is determined at a second time of the ELINT track information and a second time of the radar track information. The first likelihood and the second likelihood are processed to determine whether the ELINT track information and the radar track information should be associated as both being related to the object.

Abstract: Disclosed here are system, apparatus, article of manufacture, method and/or computer program product embodiments for track association. An embodiment operates by receiving a first set of track identification data from a first tracking system. The first set of track identification data is associated with a global track identifier (GID). The first set of track identification data associated with the GID is broadcasted to the first tracking system and a second tracking system. A second set of track identification data is received from the second tracking system. The second set of track identification data identifies any tracks of the second tracking system that match the first set of track identification data. The GID is associated with the second set of track identification data.

Abstract: A system provides high-throughput radar signal processing without resorting to costly parallel processing tool kits. The system breaks the signal processing chain into a series of independent data processing units (DPUs) that execute independently and in parallel. Queuing theory is used to efficiently distribute processing across multiple processor cores and/or computers. The system scales to an arbitrary number of cores/computers. The independent nature of the DPUs readily allows addition/replacement of new filters into the system.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments for track association. An embodiment operates by receiving a first set of track identification data from a first tracking system. The first set of track identification data is associated with a global track identifier (GID). The first set of track identification data associated with the GID is broadcasted to the first tracking system and a second tracking system. A second set of track identification data is received from the second tracking system. The second set of track identification data identifies any tracks of the second tracking system that match the first set of track identification data. The GID is associated with the second set of track identification data.

Abstract: A method for suppressing clutter when detecting objects of interest in a radar system is provided. The method includes defining a plurality of scatterer classes corresponding to a plurality of predetermined scatterer motion types, at least one of the classes corresponding to ballistic acceleration, and at least one of the classes corresponding to non-ballistic acceleration. A plurality of sensor pulses are transmitted, and reflected return pulses are received. Scatterers identified in the radar return signal are associated with one of the scatterer classes. A set of complex weights is generated and applied to the radar return signal data to null scatterers associated with the class corresponding to ballistic acceleration.

Abstract: The invention relates to a system and a method for locating at least one target (X) using an array of transceivers or sensors (S), in which at least a portion has a known geographic location, each comprising data processing means (S1) implementing at least one algorithm (AA, AS, AR, AF) for locating a target, means (S2) for transmitting/receiving a signal that decreases with the distance, the sensor array (S) covering at least one geographic area or area (Z), characterized in that they implement for each instant (t) an exchange of data or similarity data (DS) between the sensors (S) and a leading sensor (SL), and a distribution determination (DP) of the probability of the location of the target (X) using at least one regression algorithm (AR) on the basis of the similarity data (DS).

Abstract: A state estimation system utilizing an Interacting Multiple Model (IMM) architecture and algorithms that can transition between different regimes of operation described by multiple models. Each individual model includes states, whose dynamics can be modeled, as well as extrinsic parameters, such as inputs to the system and sensor biases, whose dynamics cannot be modeled, but which are constrained to lie within a known range of values.

Abstract: In a radar device, a wide band filter unit suppresses unnecessary components contained in a reception signal subjected to frequency conversion by a frequency conversion unit. The wide band filter unit has frequency characteristics for performing filtering so that isolation between transmitting and receiving becomes a desired level or lower. Although the wide band filter unit has an increased noise power compared to a matched filter, the wide band filter performs the filtering so as not to round a pulse waveform.

Abstract: Disclosed is an object detection device capable of improving object detection accuracy by preventing erroneous combination detection. In this device, a detection object region correction unit (103) corrects a detection object region set by a detection object region set unit (102) on the basis of moving speed map information associated with a coordinate group in a reference image plane and the detected moving speed on each coordinate, which is detected by a radar. Thus, the detection object region can be amended by the use of the moving speed map information even when the detection object region is obtained as a result of erroneous combination. As a result, the object detection accuracy can be improved.

Abstract: According to one embodiment, a target tracking apparatus acquires a first determination result by determining which combination of N-dimensional tracks is for the real target, acquires a second determination result by determining which combination of N-dimensional angular observation values is for the real target, selects the first determination result when an observation environment is an environment other than a dense environment, selects the second determination result when the observation environment is a dense environment, and calculates distance information to thereby generate an (N+1)-dimensional track for each target.

Abstract: The architecture includes a passive radar using opportunistic transmitters and a plurality of active radars that cooperate in the form of a coalition to assure the surveillance of an area of space. The passive radar and the active radars that form the architecture include means for exchanging information and the passive radar is configured to adopt two alternate operating modes: (i) a “watching” mode in which the passive radar carries out surveillance of the area of space concerned and generates detection information, and (ii) an “on-demand data feed” mode in which the passive radar executes at the request of one or more active radars an object search in a given sector of the area under surveillance or an analysis of certain characteristics of the signal received in a given sector.

Abstract: Aspects of the present invention relate to a system (10) and a method for tracking one or more targets by a radar using a multiple hypothesis tracking (MHT) algorithm, the method including operating the radar to transmit a radar beam from a first location toward the one or more targets, operating the radar to receive a plurality of return signals at the first location from the one or more targets, and to generate a plurality of observations for a single radar dwell respectively corresponding to the plurality of return signals, and processing the plurality of observations in accordance with the MHT algorithm for at least two passes such that more than one of the plurality of observations are associated with a single track of the one or more targets.

Abstract: According to one embodiment, a target tracking apparatus calculates N-dimensional predicted values from a respective stored (N+1)-dimensional tracks for each of the targets, determines whether or not the N-dimensional predicted value for each of the targets is correlated with the received N-dimensional angle observed value for the target, if the N-dimensional predicted value is not correlated, generates a new (N+1)-dimensional track for the target based on the N-dimensional track corresponding to the N-dimensional angle observed value and if the N-dimensional predicted value is correlated, updates and stores the (N+1)-dimensional track using the N-dimensional angle observed value.

Abstract: A method for tracking an object using radar includes detecting a wideband radio frequency (“RF”) energy at a first radar sensor tracking the object and determining in a computer process if a booster is propelling the object based on the wideband RF energy. The object is tracked in a computer process based on a ballistic trajectory if the booster is not propelling the object, and the object is tracked in a computer process based on a non-ballistic trajectory if the booster is propelling the object.

Abstract: A vehicle system and method that can determine object sensor misalignment while a host vehicle is being driven, and can do so without requiring multiple sensors with overlapping fields-of-view. In an exemplary embodiment where the host vehicle is traveling in generally a straight line, the present method uses an object sensor to track the path of a stationary object as it moves through the sensor's field-of-view and compares the sensed object path to an expected object pat*h. If the sensed and expected paths of the stationary object deviate by more than some amount, then the method determines that the object sensor is skewed or otherwise misaligned.

Abstract: A method for searching a radar acquisition volume after rotating the radar acquisition volume is disclosed. The method may comprise identifying an acquisition face of the acquisition volume and partitioning the acquisition face so that each partitioned portion of the acquisition face can be searched within a predetermined time period. The partitioning step may comprise determining the maximum number of beams that can be searched in a predetermined period of time and iteratively repositioning an elevation line on the acquisition face to identify the highest elevation line for which the number of radar beams is less than or equal to the maximum number of beams. The partitioning step may also comprise defining a beam lattice for the acquisition face and determining a maximum elevation line based on the beam lattice. The area of the acquisition face bounded by the highest or maximum elevation line defines the partitioned portion.

Abstract: Methods are disclosed for obtaining a cued radar acquisition volume. The method employs uncertainties (i.e., errors) represented by a covariance, and a method of finding the minimum volume defined by range, azimuth, and elevation limits that enclose the covariance, and uses a perspective projection of the errors to provide an accurate calculation of the cued acquisition volume. The three-dimensional problem is first reduced to two dimensions by parallel projection onto the range-transverse and range-elevation planes. Then perspective projection of the two dimensional parallel projections is performed. The disclosed method reduces the complexity of three dimensional perspective projection by preceding perspective projection with parallel projection, which greatly simplifies the problem and allows a simple and easily calculated solution.

Abstract: In cognitive radar information networks (CRINs) human-like cognitive abilities of attention and intelligence are built into radar systems and radar information networks (RINS) to assist operators with information overload. A CRIN comprises a plurality of radar sensing nodes monitoring an environment, a repository or memory, and a cognitive radar controller. Each radar sensing node includes a radio frequency transmitter, a transmitting antenna, and a receiver and receiving antenna. The receiver includes a digital radar processor for generating receiver information from the received echoes about the environment. The repository is configured for receiving and storing the receiver information generated by the digital radar processor.

Abstract: This disclosure provides a detection device, which includes an image data generation module for generating image data based on echo signals, and a target object detection module for determining an existence of a target object based on a level of the echo signal at each location of the image data for every azimuth. The target object detection module determines a continuity of the echo signals in a distance direction and an azimuth direction for every target object, and outputs an end location for each target object based on a determination result at each location, including a plurality of locations adjacent to a location determined as being a non-target object location.

Abstract: Embodiments of a target classifier and method for target classification using measured target epsilons and target glint information are generally described herein. The target classifier is configured to compare a total epsilon measurement with target glint information to determine whether to the target being tracked corresponds to an intended target type. Based on the comparison, the target classifier may cause target tracking circuitry of a target-tracking radar to either continue tracking the target or break-off from tracking the target. Glint of different target types may be characterized at different ranges and the target's glint characteristics may be used to distinguish intended from non-intended targets. Accordingly, intended targets such as incoming artillery may be distinguished from non-intended targets such as aircraft to help prevent countermeasures from being launched against non-intended targets.

Abstract: A standoff range, sense-through-obstruction radar system is capable of detecting micro-Doppler, or life form signatures, and movements through obstructions at stand-off ranges and displaying the target information over a live video feed of the area under surveillance. The sense-through-obstruction radar system comprises an antenna assembly that includes a horn antenna and a reflector configured to reflect radio frequency (RF) energy to/from the horn antenna. An antenna pointing assembly supports the antenna assembly. The antenna pointing assembly is configured to move the antenna assembly to point the antenna assembly toward an obstruction. A sensor assembly is mounted to the antenna assembly so that the sensor assembly is aligned with the RF beam formed from the RF energy reflected from the reflector to the horn antenna. The sensor assembly is configured to detect the location of the obstruction and to provide information to assist pointing of the antenna assembly toward the obstruction.

Abstract: A LIDAR optical remote sensing system and method analyzes the falling edge profile of a return LIDAR signal that may be indicative of an object or an aerosol cloud, which is generally more diffuse. Using the falling edge profile permits burnthrough to an object that may be obscured by the aerosol cloud. The profile is compared against at least one threshold that may correspond, in various embodiments, to a negative slope of the falling edge, an integrated power under the falling edge, or a range estimate error for varying transmitted power values, varying transmitted pulse lengths and/or varying receiver detector field of view values.

Abstract: An angle-only tracking filter includes: a target angle discriminant unit configured to receive sensor signal outputs and form angle only observations of a target relative to an ownship; an ownship navigation filter configured to receive and filter ownship inertial navigation measurements; a model analyzer configured to receive and analyze the ownship inertial navigation measurements and select the order of target kinematics to be determined; and a target kinematics generator coupled to the angle discriminant unit, the navigation filter unit, and the model analyzation unit, including: a first-order filter unit configured to generate a target position from the target angle measurements and the ownship inertial navigation information; a second-order filter unit configured to generate a target velocity from the target angle measurements and the ownship inertial navigation information; and a third-order filter unit configured to generate a target acceleration from the target angle measurements and the ownship iner

Abstract: Methods for resolving radar ambiguities using multiple hypothesis tracking are described. One such method includes (a) choosing a single waveform for each of a plurality of dwells of a first scan, wherein the single waveforms of consecutive scans are different, (b) generating the first scan using the single waveform for each of the dwells of the first scan, (c) receiving observation data as a result of the first scan, the observation data comprising measured positions of true targets and false targets, (d) generating, using multiple hypothesis tracking, position predictions for true targets and false targets, (e) comparing the predicted positions and measured positions, repeating (a)-(e) until a preselected process condition is met, and determining the true targets based on the results of the comparisons.

Abstract: According to one embodiment, a target tracking apparatus acquires a first determination result by determining which combination of N-dimensional tracks is for the real target, acquires a second determination result by determining which combination of N-dimensional angular observation values is for the real target, selects the first determination result when an observation environment is an environment other than a dense environment, selects the second determination result when the observation environment is a dense environment, and calculates distance information to thereby generate an (N+1)-dimensional track for each target.

Abstract: A signal processing device performs object detection processing in which peak signals each representing a differential frequency between a transmitted signal in which a frequency thereof changes in a predetermined cycle and a received signal are derived in a first period where the frequency of the transmitted signal rises and a second period where the frequency of the transmitted signal falls, and the peak signals in the first period are paired with the peak signals in the second period to detect object information related to the peak signals. A range setting unit sets a frequency range in each of the first period and the second period on the basis of a frequency of an integer multiple of the peak signal related to the object information which has been detected in previous object detection processing. A signal setting unit sets a peak signal as a specific peak signal in a case where the peak signal is within the frequency range in each of the first period and the second period.

Abstract: A system for determining the movement of a swaying structure, on which a receiver is fixedly mounted, is proposed, wherein at least three reference transmitters having known and fixed positions are provided and transmit the transmission signals received by the receiver at defined carrier frequencies. In addition, an evaluation unit is provided, which determines measured phase values from the received signals, taking into account the defined carrier frequency, wherein the distance from the reference transmitters and the changes in position of the receiver and therefore of the swaying structure can be calculated from said phase values.

Abstract: Provided is a radar system which calculates a track of a detected object and can determine whether or not the track is accurate. The radar system includes: a radar section for emitting an electromagnetic wave to an object and receiving a reflected wave reflected from the object to detect position information of the object; a track calculation section for calculating, periodically at a first cycle, a track along which the object moves, on the basis of the position information obtained from the radar section; a first speed calculation section for calculating a first speed at which the object moves, on the basis of pieces of the position information at two different time points having a time interval which is longer than the first cycle; and a track determination section for determining whether or not the track is accurate, on the basis of at least the first speed.

Abstract: A method for measuring certain parameters of the impulse response of a propagation channel involving emitters and reflectors that are fixed or mobile, and for detecting and determining the parameters regarding the position and kinematics of the emitters and reflectors, or for auto-locating the reception system implementing the invention, in a system comprising N sensors receiving signals from the emitters or from the reflection on the reflectors. The method determines an ambiguity function which couples the spatial analysis and the delay-distance/Doppler-kinematic analysis, and determines at least one sufficient statistic ?(l,m,K) corresponding to the correlation between the known signal s(kTe) corresponding to the complex envelope of the signal emitted and the output of a filter w(l,m) where l corresponds to a temporal assumption and m corresponds to a frequency assumption.