Abstract: A method is provided for estimating an angle of an object with respect to a vehicle. A transformation of reflected radar signals is calculated, wherein the result of the transformation depends on a range with respect to the vehicle. A long beam vector is generated for respective range bins provided by the transformation by rearranging the result of the transformation such that the respective long beam vector comprises elements of the transformation from radar all receiver elements for each range bin. A reference vector is calculated for each range bin based on a signal model which depends on the motion of the target object relative to the vehicle and which is parameterized regarding the angle of the target object. The long beam vector and the reference vector are correlated, and the angle of the target object is determined based on the correlation result.

Abstract: A cover device for reducing refraction of radar radio waves includes a radio wave generator configured to generate radio waves, and a cover part disposed to allow the radio waves to be incident from the radio wave generator and having an incidence section configured to be gradually increased in thicknesses in directions away from a central axis of the radio waves, thereby improving a detection accuracy through a radar by minimizing a phase difference due to refraction of a beam emitted from the radar.

Abstract: One or more embodiments of the present disclosure relate to generation of map data. In these or other embodiments, the generation of the map data may include determining whether objects indicated by the sensor data are static objects or dynamic objects. Additionally or alternatively, sensor data may be removed or included in the map data based on determinations as to whether it corresponds to static objects or dynamic objects.

Abstract: An apparatus configured to receive an input dataset, x, indicative of radar signals reflected from targets as received at a plurality of antenna elements; define a matrix, A, formed of direction-of-arrival-angle vectors, an, each direction-of-arrival-angle vector representing an expected response at the plurality of antenna elements of radar signals from one of the targets; define a signal amplitude vector s to represent expected complex amplitudes as received in the radar signals; define an objective function based on x, A and s; search for a set of direction of arrival angles for each of the plurality of targets by the repeated evaluation of the objective function for a plurality of candidate matrices based on matrix A; and wherein said search space comprises a plurality of discrete points, z, associated with the direction of arrival angles by a function of sin(?k).

Abstract: An object detection system and an object detection method are provided. The object detection system includes a transmitter, a receiver, and a processing circuit. The processing circuit is configured to: control the transmitter to transmit by a predetermined field pattern multiple detection signals in different time frames along a main beam direction; control the receiver to receive multiple reflection signals; correspondingly calculate multiple received powers, distances and velocities; perform a clustering process on the distances and the velocities to find the received powers, the distances and the velocities corresponding to a main target; perform an association process to track the distances and the received powers of the main target in the different time frames; and calculate a power and a distance trend of the main target, and determine whether an early alarm event is to occur according to a relationship between the power and the distance trend.

Abstract: A method includes: determining, a first pixel in a receiving field of view of a radar and N sampling point sets in an echo signal corresponding to the first pixel; estimating an estimated distance between the radar and a target object based on each first sampling point set of the N sampling point sets, and determining, based on each estimated distance, M cumulative receiving fields of view in a one-to-one correspondence with M data frames; determining a second sampling point set in echo signals corresponding to Q neighboring pixels, and superposing each first sampling point set and the corresponding second sampling point set to obtain an echo signal that corresponds to the first pixel and that is obtained; and calculating an actual distance between the radar and the target object based on the echo signal obtained after superposition processing.

Abstract: The present disclosure relates to a MIMO radar system, comprising a first beamforming network (6) comprising a first beam ports (7A) and antenna ports (7B), wherein the first beamforming network is configured to connect the first beam ports via the first antenna ports to the first antenna elements, wherein the first beamforming network is configured to generate for each first beam port a single beam pattern. The first antenna elements transmitting or receiving a single beam pattern selected from the number of single beam patterns, wherein the first antenna elements are spaced apart at a first distance selected to provide a beam pattern of the first antenna array essentially consisting of a plurality of single main lobes. The radar system also has a similar second beamforming network (8).

Abstract: Implementations of the subject technology provide object detection and/or classification for electronic devices. Object detection and/or classification can be performed using a radar sensor of an electronic device. The electronic device may be a portable electronic device. In some examples, object classification using a radar sensor can be based on an identification of user motion using radar signals and/or based on extraction of surface features from the radar signals. In some examples, object classification using a radar sensor can be based on time-varying surface features extracted from the radar signals. Surface features that can be extracted from the radar signals include a radar cross-section (RCS), a micro-doppler signal, a range, and/or one or more angles associated with one or more surfaces of the object.

Abstract: A method for radar signal processing separates an electric signal generated by Doppler processors of a radar into alternating current (AC) magnitudes with Doppler frequencies corresponding to absolute values between 0.1 and 4 Hz and direct current (DC) magnitudes with no Doppler frequency. An AC line and a DC line are generated, based on the AC magnitudes and the DC magnitudes, respectively, by adding respective energies across Doppler cells for each range cell and subsequently applying CFAR detector algorithm respectively. An energy level difference between an energy spike in the AC line and another energy spike in the DC line is calculated and compared with a threshold set for detecting a breathing target that is stationary. If the energy level difference is greater than the threshold, the breathing target that is stationary is detected and reported to the radar operator.

Abstract: A radar system which can be used in a vehicle is presented. The radar system has a radar sensor for transmitting and receiving first radar signals and an evaluation device for processing radar signals received by the radar sensor. The radar system also has at least one active radar tag which is configured to retransmit received radar signals, amplified and modulated, as second radar signals, and the evaluation device is configured to determine information about an object both on the basis of components, received by the radar sensor, of the first radar signals reflected at the object and on the basis of components, received by the radar sensor, of the second radar signals reflected at the object.

Abstract: A radar system and control method thereof is disclosed. The radar system comprises a plurality of radar units, each comprising: one or more radio frequency (RF) channels configured to receive a reflected signal and then generate an analog input signal according to the reflected signal; and a processing module connected with all the RF channels and configured to sample the analog input signal to obtain a digital signal and perform the first digital signal processing on the digital signal to obtain intermediate data, wherein when the plurality of radar units work jointly, a designated radar unit performs the second digital signal processing on the plurality of intermediate data provided by the plurality of radar units, thereby obtaining result data of the radar system.

Abstract: A satellite attitude estimation system includes an infrared sensor configured to capture an infrared image of a target satellite for which an attitude is to be estimated. The system determines, in the captured infrared image, a first pixel having a largest luminance and a second pixel having a smallest luminance in the infrared image. The system associates the first pixels with first coordinates of a 3D structure of the target satellite, and associates the second pixels with second coordinates of the 3D structure of the target satellite. The system computes a first normal vector to a surface of the 3D structure for the first coordinates, and computes a second normal vector to the surface of the 3D structure for the second coordinates. The system estimates a direction of the target satellite to the sun before the infrared image was taken, using the computed first and second normal vectors.

Abstract: A method includes transmitting, via a transceiver, radar signals for object detection. The method includes determining whether a moving object is detected using received reflections of the radar signals corresponding to a current radar frame. In response to a determination that no moving object is detected using the current radar frame, the method includes determining whether a moving object is detected using received reflections of the radar signals corresponding to multiple radar frames. The method also includes generating a detection result indicating that (i) no moving object is detected using the multiple radar frames or (ii) the moving object is detected using either the current radar frame or the multiple radar frames.

Abstract: RADAR sensor assemblies/modules, particularly those for vehicles. In some embodiments, the assembly may comprise a waveguide comprising a waveguide groove defined by opposing waveguide groove structures. An antenna structure may be operably coupled with the waveguide. A printed circuit board may be operably coupled with the waveguide and may comprise an electrically conductive top layer, an electrically conductive bottom layer, and a substrate positioned in between the electrically conductive top layer and the electrically conductive bottom layer. The electrically conductive top layer may comprise an opening exposing the substrate, which opening may extend along the waveguide groove in between the opposing waveguide groove structures. This configuration may allow for various parameters of the printed circuit board to be modified to tune a performance of a sensor/antenna.

Abstract: A radar level gauge system for determining a topographic property of a product, comprising a transceiver; a signal transfer element coupled to the transceiver and configured to emit an electromagnetic transmit signal from the transceiver in an emission direction; a propagating member for propagating the transmit signal towards the surface of the product and a reflection signal back towards the transceiver, the propagating member being movably arranged in relation to the signal transfer element and configured to deflect the transmit signal; an elastic system coupled to the signal transfer element and to the propagating member, and arranged to define at least one property of an oscillating movement of the propagating member in relation to the signal transfer element; an actuator arranged to initiate the oscillating movement; and processing circuitry coupled to the transceiver for determining the topographic property based on the transmit signal and the reflection signal.

Abstract: Methods and systems are disclosed for determining a spatial position of an aircraft, without replying on measurements from the Global Positioning System. Various embodiments are described using a single Secondary Surveillance Radar (SSR), and multiple SSRs.

Abstract: Disclosed are an optimization method and apparatus for an Interferometric Synthetic Aperture Radar (InSAR) time-series phase. The optimization method includes: obtaining a time-series SAR data set, and performing registration and L-looks processing on the time-series SAR data set to obtain an L-looks intensity data set and an interferometric data set respectively; taking the L-looks intensity data set as a reference, obtaining a preset digital elevation model (DEM) and a preset land cover image, performing registration and geocoding on the preset DEM to obtain a digital elevation in a SAR image coordinate system, and performing registration and geocoding on the preset land cover image to obtain a land cover image in the SAR image coordinate system; performing a differential operation on the interferometric data set to obtain a differential interferometric data set; and estimating a covariance matrix at each spatial pixel position, and estimating and obtaining an optimized time-series phase.

Abstract: A radar device includes a transmitter module configured to generate transmission waves including: generating a first chirp chain at a first chirp rate for a transmission wave to be output including: generating a first transmission signal including at least one modulated signal to be output at a first angle; and generating a second transmission signal to be output at a second angle different from the first angle; and generating a second chirp chain at a second chirp rate for the transmission wave to be output including: generating a third transmission signal including at least one modulated signal to be output at the first angle; and generating a fourth transmission signal including at least one modulated signal to be output at the second angle, where the first chirp rate is different than the second chirp rate.

Abstract: A sensor includes: a complex transfer function calculator that calculates a complex transfer function representing propagation characteristics between each N transmission antenna element and each M reception antenna element, using radio waves transmitted as a reception signal in a space where at least one living body is present from each N transmission antenna element and received by each M reception antenna element; a spectrum calculator that: calculates likelihood spectra, each indicating a likelihood of presence of each living body, by an estimation algorithm for estimating the presence from living body information that is a living body component in the complex transfer function, using different values as the number of the at least one living body; and calculates an integrated spectrum by integrating the likelihood spectra calculated; and an estimator that estimates living body information indicating at least the number of living bodies, and outputs the living body information estimated.

Abstract: A measurement device that measures an amount of moisture in a medium. The device includes a transmitter that transmits an electrical signal including an incident wave to one of a pair of probes in which a cable has been embedded through the cable. A receiver receives a reflected wave obtained from reflection of the incident wave by the one of the pairs of probes and a transmitted wave that has been transmitted through a medium between the pair of probes through the cable. A processing unit obtains a reciprocating delay time corresponding to a time over which the electrical signal reciprocates through the cable and measures an amount of moisture contained in the medium on the basis of the reciprocating delay time and a propagation transmission time corresponding to a time over which electromagnetic waves propagate and the electrical signal is transmitted through the medium and the cable.