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.

The present disclosure relates to spherical dual-polarization phased array weather radar. The spherical dual-polarization phased array weather radar comprises a spherical crown phased array antenna module, a digital transceiver module and a signal processing module, wherein the spherical crown phased array antenna module comprises a spherical support frame and a plurality of dual-polarization micro-strip radiation units; the dual-polarized micro-strip radiation units are tightly arranged on the spherical support frame; the spherical crown phased array antenna module is used for detecting weather; wireless transmission is carried out between the digital transceiver module and the spherical crown phased array antenna module; the digital transceiver module is used for generating a frequency modulation signal or a phase coding signal required for detecting meteorological targets and receiving an echo signal reflected by the target; and the signal processing module is connected with the digital transceiver module.

Systems and methods are provided for interrogating a moving acoustic source using radar and processing data using a selection of motion compensation techniques adapted from synthetic aperture radar (SAR) to remove the effects of linear and nonlinear target motion so that the range-Doppler map retains only vibration information in the Doppler dimension. Vibration and sound waveforms can thus be selectively reproduced at specific ranges directly from the radar baseband waveform, without the need for additional complex analysis or audio processing.

An object recognition determination produced by a perception system from data received from a ranging sensor system can be verified. A certificate can be produced that includes data for points of readings from the ranging sensor system. The points can have been segmented, by the perception system, into point sets that correspond to objects in an environment of a cyber-physical system. The certificate can also include lists of pairs of points in a point set and a velocity of the point set. A test of information in the certificate can be performed. Based on a result of the test: a rectification can be made to the perception system or the ranging sensor system or a communication can be transmitted to a control signal production module configured to produce, in response to the communication, a control signal to be transmitted to an actuator system configured to control the cyber-physical system.

An object detection method includes: obtaining a first offset value and a second offset value, setting a first detection threshold value by adding the first offset value to a first reference threshold value, setting a second detection threshold value by adding the second offset value to a second reference threshold value, obtaining a detection input, and performing target detection upon the detection input according to at least the first detection threshold value and the second detection threshold value. The first offset value is different from the second offset value. The first reference threshold value is determined for detecting if at least one object with a first value of an object characteristic exists. The second reference threshold value is determined for detecting if at least one object with a second value of the object characteristic exists. The second value is different from the first value.

Camera data and radar echoes are received from the surroundings. At least one radar echo is assigned to a delimiting frame of an object detected on the basis of a camera, the delimiting frame being generated using the camera data by comparing corresponding azimuth angles and specified distances of the radar echo and the object detected on the basis of a camera. In the event of a successful assignment, a distance which is assumed on the basis of a camera is corrected according to the distance of the respective detected object in the surroundings, said distance being determined in a radar-based manner. The respective delimiting frame together with the corrected distance is then output as an object data set which indicates a successful object detection.

The present disclosure relates to an apparatus and method for removing noise for a weather radar and, more particularly, to an apparatus and method for removing noise for a weather radar, the apparatus and method being able to detecting a radio interference echo, which is noise due to radio interference that is generated by reception of other external radio waves to a weather radar except for a radio wave transmitted from the weather radar, separately from weather eco according to normal weather measurement, and being able to remove the radio interference echo.

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.

For example, an apparatus may include a radar, the radar may include a reconfigurable radio configured, based on a plurality of reconfigurable radio parameters, to transmit a plurality of Transmit (Tx) radar signals via a plurality of Tx antennas, to receive via a plurality of Receive (Rx) antennas a plurality of Rx radar signals based on the plurality of Tx radar signals, and to provide digital radar samples based on the Rx radar signals; a radar perception processor configured to generate radar perception data based on the digital radar samples, the radar perception data representing semantic information of an environment of the radar; and a feedback controller to configure the plurality of reconfigurable radio parameters based on the radar perception data, and to feedback the reconfigurable radio parameters to the reconfigurable radio.

In an embodiment, a method for radar interference mitigation includes: transmitting a first plurality of radar signals having a first set of radar signal parameter values; receiving a first plurality of reflected radar signals; generating a radar image based on the first plurality of reflected radar signals; using a continuous reward function to generate a reward value based on the radar image; using a neural network to generate a second set of radar signal parameter values based on the reward value; and transmitting a second plurality of radar signals having the second set of radar signal parameter values.