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 to a log detector to generate log detector sample values, and to generate a first log cell-average constant false alarm rate (CA-CFAR) threshold from the log detector sample values by computing and adding an average sample value S.sub.AVG from the log detector sample values, a probability of false alarm factor α, and a log CA-CFAR correction factor β, where the first log CA-CFAR threshold may be used with a second log CA-CFAR threshold to generate an ordered statistics CA-CFAR threshold for the compressed radar data signals by sorting the first and second log CA-CFAR thresholds by magnitude to form a sorted list of log CA-CFAR thresholds, and then selecting a kth threshold from the sorted list of log CA-CFAR thresholds as the OS-CA-CFAR threshold.

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 to a log detector to generate log detector sample values, and to generate a first log cell-average constant false alarm rate (CA-CFAR) threshold from the log detector sample values by computing and adding an average sample value S.sub.AVG from the log detector sample values, a probability of false alarm factor α, and a log CA-CFAR correction factor β, where the first log CA-CFAR threshold may be used with a second log CA-CFAR threshold to generate an ordered statistics CA-CFAR threshold for the compressed radar data signals by sorting the first and second log CA-CFAR thresholds by magnitude to form a sorted list of log CA-CFAR thresholds, and then selecting a kth threshold from the sorted list of log CA-CFAR thresholds as the OS-CA-CFAR threshold.

An airborne radar system and signal interpretation approach that detects slow moving ground targets using angle and Doppler of Keystone formatting process, and is referred to as Angle-Doppler Keystone Formatting (ADK). ADK collapses the clutter ridge to a constant Doppler or to a constant angle, thereby transforming a clutter ridge in angle-Doppler space into a horizontal line of constant Doppler or a vertical line of constant angle. Clutter may then be filtered more effectively, such as by using multiple beams as the source of STAP training data or by using multiple Doppler bins.

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.

The embodiments of the present disclosure relate to a radar control device and method. Specifically, a radar control device according to the present disclosure may include an antenna unit including one or more transmission antennas and one or more receiving antennas, a transmitter for transmitting a radar signal toward an object using the transmission antenna, a receiver for receiving a reception signal reflected from the object using the receiving antenna, and an object detector configured to determine a track for an detected object based on the reception signal, detect an object around a host vehicle based on the determined track, and, if a traveling speed of the host vehicle is less than or equal to a predetermined speed and the detected object is plural, classify a preceding vehicle and a clutter based on the reception signal.

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 method and system for removing ground clutter data from time series radar data are provided. The method comprises receiving the time series radar data, applying a clutter filter to the time series radar data to generate a filtered time series radar data, applying a discrete Fourier transform to the filtered time series radar data to generate a filtered frequency domain data, determining a filter bias for one or more filter biased frequency domain frequencies of the filtered frequency domain data based on a frequency response of the clutter filter, and correcting the filtered frequency domain data by adding the filter bias to the filtered frequency domain data at the one or more filter biased frequency domain frequencies to generate a filtered and bias corrected frequency domain data.

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

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.