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.

A ghost removal method includes steps of detecting, estimating and excluding. In the detecting, a position and a relative speed of a target moving object, and a position of a surrounding stationary object are detected with radio waves. In the estimating, a position and a relative speed of a ghost by the target moving object are estimated based on the detected position and relative speed of the target moving object and the position of the surrounding stationary object. In the excluding, a detected point where the estimated position and the relative speed of the ghost are detected is excluded from a candidate detection point of a moving object which is detected with radio waves.

An information processing apparatus includes a calculation unit configured to calculate distance spectra based on a beat signal being a difference between a transmitted wave, which is a radio wave that is transmitted by a sensor and that is swept in frequency, and a reflected wave of the transmitted wave, the reflected wave being received by the sensor, and configured to calculate one or more time-sequenced waveforms each indicating time changes in intensity of the distance spectra with respect to respective distances from the sensor, and a detection unit configured to detect respiration of a living organism based on the one or more time-sequenced waveforms.

A detection method for a given mission comprises: a phase of analysing the environment, wherein phase elements of influence on the sea clutter perceived by the radar are sought and stored in memory; a phase of updating the path to be followed by the carrier depending on the requirements of the mission and the elements of influence issued from the result of the analysing phase, the path to be followed decreasing the power of the clutter received by the radar when the antenna is pointing towards a search zone liable to contain a target; the phases being repeated throughout the mission.

Described is a system for decoding spiking reservoirs even when the spiking reservoir has continuous synaptic plasticity. The system uses a set of training patterns to train a neural network having a spiking reservoir comprised of spiking neurons. A test pattern duration d is estimated for a set of test patterns P, and each test pattern is presented to the spiking reservoir for a duration of d/P seconds. Output spikes from the spiking reservoir are generated via readout neurons. The output spikes are measured and the measurements are used to compute firing rate codes, each firing rate code corresponding to a test pattern in the set of test patterns P. The firing rate codes are used to decode performance of the neural network by computing a discriminability index (DI) to discriminate between test patterns in the set of test patterns P.

A detection method for a given mission comprises at least: one phase of analysing the environment using a waveform chosen beforehand, the signals acquired with this waveform being analysed by processing means in order to deduce therefrom environmental characteristics; and one phase of generating an optimal detection wave depending on the environmental characteristics and characteristics of the mission.

Embodiments of the present invention concern locating targets using non-linear radar with a matched filter which uses exponential value of the transmit signal. According to embodiments, a method of non-linear radar target location includes: transmitting a signal of a transmit waveform towards a target; receiving a signal from the target; creating a matched filter by generating an exponential function of the transmit waveform corresponding to a particular harmonic of the interest; and applying the matched filter to the received signal to generate and output a signature waveform for the target of the particular harmonic of interest. In other embodiments, the matched filtering may be combined with sidelobe reduction.

The various technologies presented herein relate to identification and mitigation of spurious energies or signals (aka “spurs”) in radar imaging. Spurious energy in received radar data can be a consequence of non-ideal component and circuit behavior. Such behavior can result from I/Q imbalance, nonlinear component behavior, additive interference (e.g. cross-talk, etc.), etc. The manifestation of the spurious energy in a radar image (e.g., a range-Doppler map) can be influenced by appropriate pulse-to-pulse phase modulation. Comparing multiple images which have been processed using the same data but of different signal paths and modulations enables identification of undesired spurs, with subsequent cropping or apodization of the undesired spurs from a radar image. Spurs can be identified by comparison with a threshold energy. Removal of an undesired spur enables enhanced identification of true targets in a radar image.

A radar system includes a plurality of antennas and a controller. The plurality of antennas is configured to detect a reflected radar signal reflected by an object in a field-of-view of the system. Each antenna of the plurality of antennas is configured to output a detected signal indicative of the reflected radar signal detected by the antenna. The controller is configured to receive detected signals from the plurality of antennas, and determine if a target is present in the field-of-view based on the detected signals. The controller is also configured to determine if the target includes more than one object based on an analysis of phases of the detected signals.

The distinguishing of rain echoes from ground echoes is performed by an analysis of the attenuation of the radar echoes, a radar echo being classed as a rain echo if its attenuation on a logarithm scale as a function of distance fluctuates around an affine straight line according to a given statistical law.