G01S7/2927

CFAR Phased Array Pre-Processing Using Noncoherent and Coherent Integration in Automotive Radar Systems
20230168367 · 2023-06-01 · ·

A vehicle radar system, apparatus and method use a radar control processing unit generate compressed radar data signals, to apply the compressed radar data signals in parallel as a three-dimensional matrix to a coherent integrator (which generates a two-dimensional matrix of coherently integrated image data) and a non-coherent integrator (which generates a two-dimensional matrix of non-coherently integrated image data), and to generate a constant false alarm rate (CFAR) threshold from the two-dimensional matrix of non-coherently integrated image data for application to the two-dimensional matrix of coherently integrated image data to detect one or more targets in the MIMO radar signal returns from sample values from the two-dimensional matrix of coherently integrated image data that exceed the CFAR threshold.

RADAR SYSTEM WITH ENHANCED PROCESSING FOR INCREASED CONTRAST RATIO, IMPROVED ANGULAR SEPARABILITY AND ACCURACY, AND ELIMINATION OF GHOST TARGETS IN A SINGLE-SNAPSHOT

A radar system with enhanced processing for increased contrast ratio, improved angular separability and accuracy, and elimination of ghost targets. The radar system is equipped with transmitters, receivers, pluralities of transmit antennas, and pluralities of receive antennas. The enhanced processing chain on-board the radar system iteratively detects target(s) by first finding the strongest target, subtracting the estimated received signal from the detected target, and repeating the process for subsequent targets until a predefined number of iterations is completed or an exit condition is tripped. The enhanced processing chain's subtraction increases the contrast ratio of detectable targets. The detection is thus refined by determining optimal azimuth, elevation, gain, and phase of each detection through a joint optimization of all detections. The subtraction and refinement aid in eliminating ghost targets by removing sidelobe signals and residual errors that cause ghost targets to appear.

SLIDING WINDOW ENERGY DETECTION FOR SPECTRUM SENSING UNDER LOW SNR CONDITIONS

Methods and devices for spectrum sensing using sliding window energy detection are provided. A sliding window energy detection test having a number of continuously-performed tests can be analyzed according to a desired cumulative false alarm rate to provide a corresponding, testing threshold. Based on the testing threshold and target signal to noise ratio, a testing window length is selected such that the sliding window energy detection is performed for a minimum expected discrete detection time. A sliding window energy detector can then obtain the selected testing window length and the corresponding, testing threshold for spectrum sensing. The sliding window energy detector includes a sampling unit, a detection probability analyzer, a testing statistic generator, a false alarm analyzer, a comparing unit, and a declaring unit.

Constant false alarm rate circuitry in adaptive target detection of radar systems
09746549 · 2017-08-29 · ·

Integrated circuits may include a constant false alarm rate (CFAR) detection circuit, which may identify targets among clutter and noise in a range-Doppler map. The CFAR detection circuit may compute power values for each cell in the range-Doppler map and scan the range-Doppler map cell by cell. For this purpose, the CFAR detection circuit may compute a target value for a cell-under-test and surrounding cells and a noise value for one or more regions in local proximity of the cell-under-test on the range-Doppler map. For example, the CFAR detection circuit may perform a two-dimensional filtering to compute the target value and compute a sum of accumulated power values weighted by predetermined coefficients. The predetermined coefficients may taper at edges of the range-Doppler map and/or at edges of the regions. The CFAR detection circuit may declare a target based on a comparison of the target value and noise value.

Radar Employing Preacquisition Ramps
20170234968 · 2017-08-17 ·

Techniques for radar detection based on preacquisition ramps are discussed. One example system comprises transmitter circuitry, receiver circuitry, and one or more processors. The transmitter circuitry can transmit preacquisition ramps and acquisition ramps. The receiver circuitry can receive preacquisition signals and acquisition signals based on interactions between the environment and the preacquisition ramps and acquisition ramps, respectively. The one or more processors can perform preprocessing based on the preacquisition signals to obtain interim results based on one or more of the environment or the system; generate a range Doppler map based at least in part on the acquisition signals; and evaluate the range Doppler map based at least in part on the interim results.

Apparatus and method for detecting target using radar
09726758 · 2017-08-08 · ·

The present invention suggests a target detecting apparatus and method using a radar which detect a target using a recursive modified cell average-constant false alarm rate (RMCA-CFAR) detector without having a sorting process. The present invention provides a target detecting apparatus using a radar, the apparatus including: a data selecting unit which compares reference data with at least one of previous data and subsequent data which are located at both sides of the reference data, from a received signal including information on a distance and a speed for multiple targets, to select specific data; a cell average calculating unit which calculates an average of cells extracted using a sliding window including the specific data; a CFAR data detecting unit which detects CFAR data based on the average of the extracted cells; and a target detecting unit which detects the target based on the CFAR data.

Tracking system and method for characterizing target height using percentage of range bins

A system and method characterizes the height of targets in an environment around a vehicle. Signals are transmitted into the environment and return signals are received to determine a track corresponding to a target. For each track, bins are generated, each bin corresponding to a segment of the range, the segments having a gradually increasing size between the minimum range and maximum range. Range and magnitude values of the received return signals are determined for a selected track. A plurality of filled bins are determined, filled bins indicating that a return signal within the selected track has a range value falling within the segment corresponding to said bin. When the number of filled bins exceeds a set threshold, the return signals having range values within the segments corresponding to the filled bins are analyzed to characterize a height of the target.

Radar, signal processing circuit, and signal processing method

A radar includes a transmitter that generates a first signal that is a frequency modulated continuous wave (FMCW) signal and radiates the generated first signal to an outside, a receiver that receives a second signal based on the first signal and generates a baseband signal of the second signal, a signal processor that extracts a target frequency signal from the baseband signal, and a signal converter that outputs the target frequency signal that is controlled as a digital signal, and wherein the signal processor includes a high pass filter connected to the receiver, that receives the baseband signal, and attenuates a low frequency signal present in the received baseband signal, based on a first cutoff frequency, an amplifier that amplifies the attenuated baseband signal, and a signal controller that removes a direct current component of the amplified baseband signal, based on a second cutoff frequency.

Extended target-matched CFAR detector

A radar circuit for use with a host system such as a vehicle includes a radio frequency (RF) signal generator configured to generate a predetermined RF waveform, an RF antenna connected to the RF signal generator, and an ECU which executes a method. As part of such a method, a signal generator transmits the RF waveform toward different radar target types, and receives return signatures reflected therefrom. The ECU receives the return signatures from the antenna, processes the return signatures via parallel constant false-alarm rate (CFAR) subdetectors each with defined cells under test to detect the target types as a set of detection events, merges the detection events into a merged set, and executes a control action aboard the host system responsive to the merged set. Each subdetector detects a corresponding one or more of the radar target types via corresponding detection parameters.

DYNAMIC RADAR DETECTION THRESHOLD FOR STATEFUL DYNAMIC FREQUENCY SELECTION
20210373143 · 2021-12-02 ·

Embodiments are directed to a dynamic radar detection threshold for stateful dynamic frequency selection (DFS). An embodiment of a storage medium includes instructions to operations including estimate a duty time of transmission of wireless signals by an access point, the access point to provide Wi-Fi communication, the wireless signals being communicated on a DFS channel of the access point, adapt, based at least in part on the duty time of transmission, a threshold of radar signals to indicate detection of a radar signal at the access point on the DFS channel, and perform analysis of received wireless signals on the DFS channel at the access point to detect the radar signal using the adapted threshold of radar signals.