A method is provided of operating a vehicle radar system in which at least one radar sensor is arranged for detecting targets in the surroundings of the vehicle. At least one two-dimensional spectrum is provided which is specific for detecting the at least one radar sensor. A main processing step is then performed for target separation in which modeling on the basis of the at least one provided two-dimensional spectrum is performed by means of parameter estimation such that the targets are detected.

The present invention concerns a method for processing radar signals in a detection system comprising at least one computing architecture comprising at least one memory to store at least one set of signal-related programs and/or data, at least one processor executing said programs to implement said method comprising at least a first step (E1) to digitize radar signals, a second step to generate spectra from the digitized signals obtained at the first step (E1), via FFT computation, said method being characterized in that FFT computation at the spectra generation step (E2) comprises at least one multi-FFT processing comprising at least: simultaneous FFT computation (E20) of different sizes with automatic selection of said sizes and real-time selection of signals (E21) in all the spectra of the different FFT computations, via a selection algorithm.

Disclosed are a method and a device for adaptively configuring a threshold for object detection by means of radar, the device including: a position-specific maximum signal value extraction unit extracting a maximum value of a signal for each position by obtaining the signal when there is no moving object; a position-specific signal magnitude sorting unit obtaining signals caused by a moving object, and sorting magnitudes of the obtained signals for each position in descending order for a time index; a candidate signal index selection unit selecting a candidate signal index; a signal index determination unit setting weighting factors for the respective signals up to the candidate signal index, and determining a sum of the weighting factors as a signal index; and a position-specific threshold configuring unit configuring the threshold for each position by using a signal of the determined signal index and a scaling factor.

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.

An object detection device includes: a transmitter transmitting a transmission wave; a receiver receiving a reception wave reflected by an object; a CFAR processor acquiring a CFAR signal at a detection timing by CFAR processing based on a value of a first processing target signal and an average value of values of second processing target signals; a detection processor detecting information related to the object based on a comparison between the CFAR signal and a threshold; and a threshold processor setting, when the detection timing belongs to a predetermined first section, the threshold as a first threshold calculated in consideration of a detection result of a temperature sensor, and setting, when the detection timing belongs to a predetermined second section, the threshold as a second threshold calculated without considering the detection result of the temperature sensor.

The present invention is a signal processing device that efficiently removes multiple types of interference waves mixed in with a received signal. This signal processing device is provided with: a first extraction unit that performs deconvolution with respect to a cross-correlation of a reference signal and a received signal and to an autocorrelation of the reference signal, and extracts a channel response to the reference signal; a second extraction unit that extracts a main channel response corresponding to the reference signal from the channel response; and a removal unit that restores a signal by performing convolution with respect to the reference signal and the main channel response, and removes the restored signal from the received signal.

Method and systems for object detection using a radar module are disclosed. Frames of range and doppler data are received from a radar module at sample time intervals. Doppler zero slice data is extracted from a current frame of the range and doppler data. A prediction of doppler zero slice data is maintained. The prediction of doppler zero slice data is based at least partly on doppler zero slice data from a previous frame of range and doppler data. Standard deviation data is determined based at least partly on prediction error data. The prediction error data relates to a difference between the prediction of doppler zero slice data and the doppler zero slice data. An object detection output is determined based on a comparison of the standard deviation data and an object detection threshold.

A system may include a processor configured to: receive ambient data from an environment; calculate an average amplitude of the ambient data as a measure of a noise floor; receive a signal of interest found by the signal exceeding a noise riding threshold, the noise riding floor being an upward offset from the noise floor; calculate a running average for amplitude and frequency of the signal of interest; calculate a running variance for the amplitude and the frequency of the signal of interest; use the running average and the running variance to provide an adjustment to limits for modulation detection; use an offset from the noise riding threshold to provide a signal qualification minimum amplitude; and qualify the signal of interest based at least on the signal qualification minimum amplitude.

A radar device including at least three subcircuits, wherein each subcircuit has a cascade input port and a cascade output port and is chained such that the cascade output port of a first subcircuit is connected to the cascade input port of a subsequent subcircuit, the cascade input port of the last subcircuit of the chain is connected to the cascade output port of its preceding subcircuit, and the cascade output port of the last subcircuit of the chain is connectable to an external device, and wherein the at least three subcircuits are configured to conduct a radar computation in a distributed manner such that intermediate results are conveyed towards the last subcircuit of the chain which is configured to combine these results and supply them towards its cascade output port.

In one embodiment, a method includes receiving a first signal associated with a first multipath effect from a first radar installed on a vehicle at a first height, receiving a second signal associated with a second multipath effect from a second radar installed on the vehicle at a second height, wherein the first height and the second height are different, wherein a difference between the first height and the second height is configured to generate a mitigation of the first multipath effect and the second multipath effect, and wherein the first radar and the second radar have an overlapping field of view, and determining that a target exists in the overlapping field of view based on the first signal and the second signal.