The vehicle radar apparatus may include a transmitting array antenna configured to radiate radar signals for forward detection, N receiving array antennas configured to receive the radar signals reflected from a target after being radiated from the transmitting array antenna, and a control unit configured to estimate an azimuth of the target by using non-offset receiving array antennas among the N receiving array antennas and estimate an elevation of the target by using a phase difference between an offset receiving array antenna and the non-offset receiving array antenna among the N receiving array antennas and the azimuth of the target.

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.

A moving object detector detects a moving object in a channel. The detection comprises the detector receiving a plurality of frames based on a transmitter transmitting a plurality of frames over a channel. One or more channel impulse responses (CIRs) of the channel is determined based on the received plurality of frames. The detector determines a CIR phase for each of the CIRs and a phase signal is formed based on a phase value of the CIR phase for each of the CIRs. The detector compares the phase signal with a target signal and detects the moving object in the channel based on the comparison.

A phase Doppler radar system may comprise a pulse Doppler receiver/transmitter (R/T) subsystem coupled with a processing subsystem. The system may determine target velocity and target detection events by collecting pulses from the pulse Doppler R/T subsystem, determine an undifferentiated phase of each of the pulses, differentiate the pulses, and determine a differentiated phase of each of the pulses. The system may perform a linear fit of the differentiated phases of the pulses to produce a slope and an intercept. The system may determine a set of initial estimates of coefficients of a nonlinear fit equation. The system may perform iterations of a nonlinear least squares fit, beginning with the initial coefficient estimates, to produce a non-linear fit result. The system may determine a goodness-of-fit (GoF) statistic associated with the nonlinear fit result, and declare a detection event when the GoF is superior to a GoF statistic associated Gaussian noise.

Systems and methods are provided for morphological components analysis (MCA) techniques for efficient maritime target detection. Embodiments of the present disclosure provide systems, methods, and devices for determining the free parameter λ for MCA analysis. Embodiments of the present disclosure using MCA utilize effective pre-processing step(s) that separate target signals from clutter, thereby improving the overall performance of subsequent target detection processing. Systems and methods in accordance with embodiments of the present disclosure can optimize the value of the parameter λ, significantly affecting MCA performance.

A radar system provides a transmitter that transmits a sequence of transmitted pulses in a transmit beam, receiving antenna array comprised of more than one element, and a receiver communicatively coupled to the receiving antenna area to receive received signal that comprises in-phase and quadrature samples collected of a reflected version of the sequence of transmitted pulses. A signal processing and target detection module resolves a received signal-plus-interference into different range cells based on a time delay between the transmitted pulse and the received signal, wherein a response from a range cell to a transmitted pulse is due to a target within the transmit beam and moving at an unknown velocity. An interference suppression module suppresses interference and test for presence of a target tested at each of a set of hypothesized azimuth angles and Doppler frequencies.

A device and method therein for improving measurement result made by a radar unit are disclosed. The device comprises the radar unit and at least one motion sensor unit. The radar unit transmits at least one radar pulse in a frequency range and receives at least one radar pulse response associated to reflections of the at least one transmitted radar pulse. The radar unit determines at least one measurement based on the transmitted and received radar pulses. The radar unit further receives information on movement of the device from the at least one motion sensor unit during radar pulse transmission and reception and adjust the at least one measurement based on received information on movement of the device from the at least one motion sensor unit.

A radar system includes a beamformer that uses space-time adaptive processing using random matrix theory.

The processing of radar data of a radar sensor. By adaptively adjusted assignment of the radar data to a radar cluster, the volume of radar data of the radar sensor is able to be reduced. The radar data are assigned to an already existing radar cluster, if a suitable association is detected between the radar data of the radar sensor and an already existing radar cluster. Otherwise, a new radar cluster may be created with the radar data.

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.