G01S13/5246

Radar ambiguity resolving detector
09835723 · 2017-12-05 · ·

Various exemplary embodiments relate to a method for determining the velocity of an object using radar system having a processor, including: receiving, by a processor, a first digital signal corresponding to a first transmit signal; receiving, by the processor, a second digital signal corresponding to a second transmit signal; processing the first digital signal to produce a first range/relative velocity matrix; detecting objects in the first range/relative velocity matrix to produce a first detection vector; unfolding the first detection vector; processing the second digital signal to produce a second range/relative velocity matrix; interpolating the second range/relative velocity matrix in the relative velocity direction wherein the interpolated second range/relative velocity matrix has a frequency spacing corresponding to the frequency spacing of the first range/relative range velocity matrix in the relative velocity direction; detecting objects in the second range/relative velocity matrix to produce a second detection vector; unfolding the second detection vector; and determining a true velocity of the detected objects based upon the unfolded first and second detection vectors.

ELECTRONIC DEVICE, AN ELECTRONIC REFERENCE DEVICE, AND RELATED METHOD FOR POSITIONING OF THE ELECTRONIC DEVICE
20210396863 · 2021-12-23 ·

An electronic device includes memory circuitry, interface circuitry, and processor circuitry. The processor circuitry is configured to transmit, to a plurality of electronic reference devices, a first signal, the first signal having a pulse width below a threshold. The processor circuitry is configured to determine, based on the received second signals and at least one predetermined time period, a time of flight of each of the second signals. The processor circuitry is configured to obtain, from the memory circuitry, reference positions of the plurality of electronic reference devices. The processor circuitry is configured to determine, based on the associations, one or more candidate positions of the electronic device. The processor circuitry is configured to determine, based on the distances, the one or more candidate positions, and the obtained reference positions, a position of the electronic device.

Doppler ambiguity resolution in MIMO radars using a SIMO evaluation

Embodiments include methods, systems and computer readable storage medium for a method for determining a fine direction of arrival (DOA) for a target is disclosed. The method includes receiving, by a plurality of receivers of a radar system, radar signals reflected by a target. The method further includes mitigating, by the radar system, phase shifts in the radar signals caused by a motion of the target. The method further includes determining, by the radar system, the fine DOA in response to the mitigation of phase shifts and based on the radar signals. The method further includes estimating and storing, by the radar system, a Doppler frequency based on the fine DOA.

CFAR OS DETECTION HARDWARE

A system includes a shift register to store data samples, where the shift register includes a cell under test (CUT), a left guard cell, a right guard cell, a left window, and a right window. The system includes two sets of comparators to compare incoming data samples with data samples in the left window and the right window to compute ranks of the incoming data samples. The system includes a sorted index array to store a rank of the data samples in the shift register. The system includes a selector to select a Kth smallest index from the sorted index array and its corresponding data sample from the shift register. The system includes a target comparator, where the first comparator input receives a data sample from the CUT and the second comparator input receives a Kth smallest data sample, and the comparator output indicates a CFAR target detection.

Target detection device and target detection method

Target detection units respectively performing detection processing of targets which are different in spatial extent from each other on the basis of a detection result of amplitude or power by a detection unit are provided, and at least one determination processing unit is configured to determine presence or absence of targets from a result of the detection processing of targets by the target detection units. As a result of this configuration, it is possible to detect a target even when it has a spatial extent.

SYSTEMS, DEVICES, AND METHODS FOR REAL-TIME INTEFERENCE DETECTION
20220018933 · 2022-01-20 ·

Signal processing circuitry includes at least one processor configured to obtain a digitized radar signal, and further configured, for one or more iterations, to: determine a first power of at least one first signal sample of the radar signal; determine a second power of at least one second signal sample of the radar signal, the at least one second signal sample being subsequent in time to the at least one first signal sample; and determine a difference value between the second power and the first power. The at least one processor further configured to detecting a burst interference signal occurring within the radar signal based on the one or more difference values from the one or more iterations.

Method and apparatus for processing CFAR of sensor data
11782150 · 2023-10-10 · ·

A method and apparatus for processing a constant false alarm rate (CFAR) of sensor data are disclosed. The method includes determining whether a skip condition for an averaging operation on a current frame of radar data is satisfied based on a data variation level of the current frame, skipping the averaging operation on the current frame and obtaining previous mean data of a previous frame of the radar data, in response to the skip condition being satisfied, generating current mean data by performing the averaging operation on the current frame, in response to the skip condition not being satisfied, and performing a CFAR operation on the current frame based on one of the previous mean data or the current mean data.

Robust constant false alarm rate (CFAR) detector for interference-plus-noise covariance matrix mismatch

Detection of a radar target from a received radar signal includes computing a vector of filter weights dependent upon a steering vector and determining a threshold value dependent upon a designated probability of false alarm. The vector of filter weights is applied to samples of the received radar signal at a test cell, corresponding to a test range, to provide a filtered test signal and a test power of the filtered test signal is computed. The weights are also applied to samples of the received radar signal at a number of reference cells, to produce filtered reference signals. A reference power is computed from the filtered reference signals and the radar target is detected at the test range when a ratio of the test power to the reference power exceeds the threshold value.

ELECTRONIC DEVICE, METHOD FOR CONTROLLING ELECTRONIC DEVICE, AND PROGRAM

An electronic device includes a transmission antenna that transmits a transmission wave, a reception antenna that receives a reflected wave that is the transmission wave having been reflected, and a control unit that detects a target by using a constant false alarm rate on the basis of a transmission signal transmitted as the transmission wave and a reception signal received as the reflected wave. The control unit performs control to skip processing of detecting an object determined to be a stationary object among objects located around the electronic device, as the target by using the constant false alarm rate on the basis of the transmission signal and the reception signal.

Liveliness detection using radar

Disclosed are techniques for liveliness detection. In an aspect, a radar sensor of an electronic device transmits a radar frame comprising a plurality of bursts, each burst comprising a plurality of radar pulses, and receives a plurality of reflected radar pulses. The electronic device generates a radar image representing azimuth, elevation, range, and slow time measurements for the radar frame based on the plurality of reflected pulses, applies a Doppler FFT to the radar image to convert the radar image to represent azimuth, elevation, range, and velocity measurements for the radar frame, identifies at least one area of motion in the radar image based on velocity bins of the radar image, and detects a target dynamic object based on a CFAR detection applied over the range and azimuth measurements and a SNR threshold of the received plurality of reflected pulses associated with the at least one area of motion.