The Doppler signal processing device includes a frequency analyzer, an interference suppressor, an interference baseline estimator and a synthesizer. The frequency analyzer can generate a frequency domain signal according to a digital signal. The interference suppressor can perform a suppression operation to generate an interference suppressed frequency domain signal. The interference baseline estimator can generate or update the frequency domain interference estimation signal according to the frequency domain signal. The synthesizer can generate an interference suppressed digital signal according to the interference suppressed frequency domain signal, where the interference suppressed digital signal is related to the digital signal with the interference energy suppressed.

Described are a system and technique to mitigate the impacts of clutter in a radar system. The system and technique require only linear co-polarized measurements can be incorporated into the standard radar signal processing chain without slowing down radar performance.

A radar system includes a radio frequency (RF) circuit to generate a transmit signal and to receive a corresponding receive signal from a target during rainfall or snowfall conditions, and a signal processing circuit coupled to the RF circuit to generate an adaptive filter threshold in response to the rainfall or snowfall conditions, and to generate a valid target signal in response a portion of the receive signal above the adaptive filter threshold.

A radar system located on an antenna array mounted on a moving carrier and including plurality of antenna elements; a transmitter portion coupled to the antenna and configured to transmit a plurality of transmit beams, each including a corresponding orthogonal transmit waveform of a plurality of orthogonal transmit waveforms, each of the plurality of transmit beams having a transmit phase center spatially located at a respective point along the antenna array, the transmitter portion being configured to transmit each transmit beam during at least a portion of a pulse repetition interval, wherein the transmitter portion is configured to shift the transmit phase center of each transmit beam for each pulse repetition interval to a respective point along the antenna array in a direction opposite the movement of the carrier, such that a speed of the respective transmit phase center of each beam remains is reduced.

In one aspect, a method includes receiving signals directly or indirectly from a transmitter. The received signals include a target signal, a clutter signal and a reference signal. The method also includes filtering the clutter signal from the received signals, processing the filtered radar data to obtain range and Doppler data, detecting and tracking a target from the range and Doppler data and classifying the target.

Embodiments provided herein allow for identification of one or more regions of interest in a radar return signal that would be suitable for selected application of super-resolution processing. One or more super-resolution processing techniques can be applied to the identified regions of interest. The selective application of super-resolution processing techniques can reduce processing requirements and overall system delay. The output data of the super-resolution processing can be provided to a mobile computer system. The output data of the super-resolution processing can also be used to reconfigure the radar radio frequency front end to beam form the radar signal in region of the detected objects. The mobile computer system can use the output data for implementation of deep learning techniques. The deep learning techniques enable the vehicle to identify and classify detected objects for use in automated driving processes. The super-resolution processing techniques can be implemented in analog and/or digital circuitry.

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.

The echoes being picked up in the distance-speed domain, the method being wherein it includes a step of producing a mask, in the distance-speed plane, overlying the zone of detection of the ground and/or sea clutter echoes picked up by the sidelobes, the zone being determinable by the antenna parameters of the radar, the waveform emitted by the radar and the environmental context of the radar, all the points of the distance-speed plane which are covered by the mask being assigned a characteristic which is specific to the mask; a step of filtering the received echoes, in which the echoes covered by the mask are rejected from the radar reception processing.

In a vital sign sensor of the present invention, an antenna assembly radiates an oscillation signal generated by a SIL oscillator to an object in a form of a wireless signal and receives a reflected signal from the object, and the reflected signal can have the SIL oscillator injection-locked. The wireless signal radiated from the antenna assembly is transmitted to a demodulator for demodulation such that the vital signs of the object can be obtained. Additionally, an isolator of the antenna assembly is provided to prevent the SIL oscillator from receiving a clutter reflected from the demodulator and an environment where the demodulator is placed. As a result, the clutter can't influence the vital sign detection of the object.

Method of slowly moving target detection with application for coastal surveillance radars. This method improves the well know other methods and efficiently detects targets with a high accuracy. The proposed method consists of three steps that are: step of generation and processing of signals with complex modulation; step of target clustering and step of detection of slowly moving targets in clutter environments.