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: 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: 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: 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 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: 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: It is suggested to process radar signals including: (i) receiving reception signals via at least one antenna of a first receiving circuit; (ii) determining an interim result by processing the reception signals via a frequency transformation; (iii) determining an error compensation vector based on the interim result and an expected characteristic; and (iv) applying the error compensation vector on other reception signals that have been processed via the frequency transformation.

Abstract: A a method for managing a secondary radar operating in Mode S, the method includes a) a detection in “seeking mode”, the “seeking mode” being implemented until an aircraft is detected by the secondary radar; b) a detection in “tracking mode”, the “tracking mode” being implemented if a valid response to a roll-call interrogation was detected in “seeking mode”; the method comprising an intermediate step a1), which is executed between the detection in “seeking mode” and the detection in “tracking mode”, the intermediate step comprising: detecting the presence or absence of the reply of the aircraft in a noise window of the secondary radar; carrying out at least one roll-call interrogation, using the first monitoring window, if the reply of the aircraft is not located in the noise window.

Abstract: Some aspects relate to an apparatus, method and/or system of radar tracking. For example, a radar tracker may be configured to generate target tracking information corresponding to a plurality of targets in an environment of a radar device. For example, the radar tracker may include a processor configured to determine the target tracking information based on a plurality of multi-target density functions corresponding to a respective plurality of target types, and to update the plurality of multi-target density functions based on detection information corresponding to a plurality of detections in the environment. For example, the radar tracker may include an output to output the target tracking information.

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.

Abstract: Disclosed is incorporating an IQ stream into a test signal for a receiver in motion, configuring a path for the motion of the receiver during simulation, a period of the simulation, a transmitter constellation to emulate, and a path of at least one IQ stream transmitter. Also generating signals emulating the transmitter constellation and conditioning the stream to be merged with the signals, using distance and relative motion between receiver and transmitter to determine delay and Doppler shift between transmitter and receiver in motion, scheduling sampling of the signal, including interpolation among samples of the stream, based on delay and Doppler shift, and synthesizing a conditioned stream from the interpolation between the samples, taking into account signal level of the stream, in addition to delay and shift, and merging the conditioned signal with the signals emulating the transmitter constellation and supplying the merged signals to the receiver during the test.

Abstract: For some embodiments of the present disclosure, systems and methods for using computer vision to guide processing of receive responses of RADAR sensors of a vehicle are described. A computer implemented method comprises receiving, with one or more receivers of RADAR sensors, environment receive RF responses, receiving region of interest (ROI) information including segments of a tentative set of ROIs with free space area boundaries from an image processor of an image processing chain for the computer vision, dynamically determining a number of polyphase filters based on a number of ROIs having dynamic scenes that are provided by the image processing chain, and adjusting parameters of the polyphase filters of a RADAR processing chain based on the ROI information.

Abstract: Disclosed are an indoor non-contact human activity recognition method and system. The method comprises: collecting an indoor reflected signal by using an antenna array; filtering the reflected signal to obtain a noise-removed reflection signal; and inputting the noise-removed reflected signal to a pre-trained human activity recognition model, and determining a human activity category, the human activity recognition model being a pre-trained CNN network model based on a transfer learning algorithm. The recognition method and system have the advantages that: the antenna array is configured for collecting human actions to carry out activity recognition indoors, which can be applied to home-based care scenes; original data is denoised, so that most of high-frequency noises can be removed, and a phase change of the signal is reserved; a CNN structure is adopted for training so as to reduce a complexity of the system location-free sensing.

Abstract: An object detection apparatus 1000 includes: a transmission unit 1101, having a transmission antenna, configured to emit a radio wave toward an object using the transmission antenna; a reception unit 1102, having a reception antenna, configured to receive the radio wave reflected by the object as a reception signal and generate an intermediate frequency signal from the reception signal received; and a processing device 1211. The processing device 1211 calculates an amplitude distribution of the radio wave reflected by the object on the basis of the placement of the transmission antenna, the placement of the reception antenna, the frequency of the radio wave emitted from the transmission antenna, and the intermediate frequency signal, and furthermore, using a correction operator calculated from a point spread function indicating characteristics of the transmission unit 1101 and the reception unit 1102, corrects the amplitude distribution calculated.

Abstract: A radar apparatus and an interference suppression method are provided. The radar apparatus includes a clock generator, an analog to digital converter (ADC), and a notch filter. The clock generator is configured to generate a sampling frequency. The ADC is coupled to the clock generator, and is configured to convert an analog signal into a digital signal according to the sampling frequency. The notch filter is coupled to the ADC, and is configured to attenuate one or more interfered frequencies of the digital signal. The interfered frequencies are related to the sampling frequency. Accordingly, the interference at a specific frequency and harmonics thereof may be suppressed.

Abstract: A signal transmission method applied to a multiple-input multiple-output (MIMO) radar, the MIMO radar includes a transmitter, and the transmitter includes a plurality of transmit antennas. The signal transmission method includes sending, by the transmitter, a first burst in a first measurement frame, where the first measurement frame is used to measure a velocity of a target, and when the first burst is sent, each of the plurality of transmit antennas sends a chirp signal in a time division manner, and sending, by the transmitter, a second burst in the first measurement frame after the transmitter sends the first burst in the first measurement frame, where when the second burst is sent, a quantity of transmit antennas configured to send a chirp signal is one.

Abstract: An apparatus comprises processor cores and computer-readable mediums storing machine instructions for the processor cores. When executing the machine instructions, the processor cores obtain received signals for transmitted chirps from a radar sensor circuit. Each transmitted chirp comprises an A chirp segment, a time gap, and a B chirp segment, respectively. The processor cores sample the received signals to obtain sampled data matrices M1(A) for the A chirp segments and M1(B) for the B chirp segments. The processor cores perform a first Fourier transform (FT) on each column of M1(A) and M1(B) to obtain velocity matrices M2(A) and M2(B), respectively. The processor cores apply a phase compensation factor to M2(B) to obtain a phase corrected velocity matrix M2(B?), and concatenate M2(A) and M2(B?) to obtain an aggregate velocity matrix M2(A&B?). The processor cores perform a second FT on each row of M2(A&B?) to obtain a range and velocity matrix M3(A&B?).

Abstract: A radar semiconductor chip includes a radar circuit component configured to generate at least part of a frequency-modulated ramp signal or process at least part of a reflected frequency-modulated ramp signal according to a control parameter; a memory configured to store a sequencing program associated with regulating the control parameter, wherein the sequencing program specifies a first data source, external to the sequencing program, that is configured to provide a first data value corresponding to the control parameter; and a decoder configured to read the sequencing program, access the first data value from the first data source specified by the sequencing program, derive a first control value for the control parameter from the first data value, and provide the first control value to the radar circuit component. The radar circuit component regulates a controlled circuit function in accordance with the control parameter based on the first control value.

Abstract: Systems and methods for identifying shareable airborne radar spectrum are disclosed. The system may include an Airborne Radar Sensing Capability (AR-SC) system that performs a method including: receiving, from a sensor, information indicative of an active airborne radar, the information comprising at least: an identification of the sensor; determining one or more frequencies affected by the active airborne radar; and determining whether the active airborne radar is associated with a specific aircraft; if the active airborne radar is associated with a specific aircraft: determining a location of the aircraft; and reporting, to a spectrum controller, (i) the one or more affected frequencies, and (ii) the location of the aircraft; if the active airborne radar is not associated with a specific aircraft: reporting, to a spectrum controller, the one or more affected frequencies.

Abstract: A feature quantity extraction unit extracts at least one type of feature quantity using at least one of information associated with an instantaneous value generated by an instantaneous value generation unit and information associated with a target object member generated by a connection determination unit. A virtual image determination unit calculate a virtual image probability from a virtual image distribution and a real image probability from a real image distribution for each target object member generated by the connection determination unit using an extraction result related to the target object member of the feature quantity extraction unit. The virtual image determination unit further determines whether or not the target object member is a virtual image according to a result of integrating the calculated virtual image probability and the calculated real image probability.