Aspects and implementations of the present disclosure relate to filtering of return points from a point cloud based on radial velocity measurements. An example method includes: receiving, by a sensing system of an autonomous vehicle (AV), data representative of a point cloud comprising a plurality of return points, each return point comprising a radial velocity value and position coordinates representative of a reflecting region that reflects a transmission signal emitted by the sensing system; applying, to each of the plurality of return points, at least one threshold condition related to the radial velocity value of a given return point to identify a subset of return points within the plurality of return points; removing the subset of return points from the point cloud to generate a filtered point cloud; and identifying objects represented by the remaining return points in the filtered point cloud.

The present disclosure relates to a radar device, including a transmitter circuit configured to generate an RF oscillator signal and to transmit an RF fault detection signal based on the RF oscillator signal, a receiver circuit configured to receive an RF reception signal based on the RF fault detection signal and to mix the RF reception signal with the RF oscillator signal in order to obtain a down-converted reception signal, and a fault detection circuit configured to detect a hardware fault of the radar device based on a phase of the down-converted reception signal.

According to a further example implementation, the method comprises measuring magnitude response information relating to an analog baseband signal processing chain of a reception channel of a radar system, determining—based on the measured magnitude response information—at least one value which characterizes at least one frequency limit of the first baseband signal processing chain, and determining a phase response for the baseband signal processing chain based on the at least one value and a model of the baseband signal processing chain. The method also comprises digitizing an output signal from the baseband signal processing chain and digitally processing the digitized output signal, wherein phase equalizing is carried out based on the determined phase response during normal radar operation of the radar system.

In an apparatus for detecting a target using a radar according to one aspect of the present invention, a first radar and a second radar, which are multi-channel radars each including a plurality of transmitting antennas and a plurality of receiving antennas, are installed to be spaced apart from each other, and position information of a target and velocity vector information of the target are calculated from first position information and first velocity information of the target acquired from the first radar and second position information and second velocity information of the target acquired from the second radar and then are used to detect and track the target.

An electronic device includes a transmission antenna, a reception antenna, and a signal processor. The transmission antenna is configured to transmit a transmission wave. The reception antenna is configured to receive a reflection wave resulting from reflection of the transmission wave. The signal processor is configured to detect an object based on a transmission signal transmitted as the transmission wave and a reception signal received as the reflection wave. The signal processor is configured to output information regarding a point group representing the position of an object determined to be a stationary object based on the velocity of the object and the velocity of the electronic device.

A method and apparatus with radar signal processing are included. A method includes transmitting, through transmission antenna elements, a radar signal at a transmission time interval corresponding to a time division multiplexing (TDM) latency, receiving a reflected signal of the radar signal through reception antenna elements, determining directions of arrival (DOAs) respectively corresponding to the transmission antenna elements by classifying radar data corresponding to the reflected signal, wherein the classifying is based on the transmission time interval, determining an unambiguous element of a phase error element by applying an ambiguous Doppler velocity that is based on the radar data to the phase error element of the individual DOA data, and determining integrated DOA data corresponding to the transmission antenna elements by integrating the individual DOA data by suppressing an ambiguous element of the phase error element.

A radar apparatus for a motor vehicle including a transceiver device configured to transmit radar radiation and to receive the radar radiation reflected from objects in an environment of the radar apparatus and to generate a measurement signal, and a protection device configured to protect the transceiver device from external influences. The thickness of the protective device is at least in sections less than 10% of a wavelength of the radar radiation passing through the protective device.

A radar system is disclosed that provides joint object detection and communication capabilities. The radar system includes a communication signal generator that provides a communication signal, a pre-distortion module that applies a pre-distortion to the communication signal to provide a pre-distorted communication signal, a linear frequency modulation (LFM) signal generator that provides a LFM signal, and a mixer that mixes the pre-distorted communication signal onto the LFM signal to provide a radar signal to be transmitted by the radar system. The radar system further includes an all-pass filter that filters a plurality of de-ramped reflected images of the radar signal to provide a filtered signal. Each de-ramped reflected image includes an associated image of the pre-distorted communication signal. The all-pass filter provides a linear group delay, and a non-linear phase response. The pre-distortion is an inverse of the non-linear phase response of the all-pass filter.

Described are techniques for interleaving range and Doppler radar processing. A data cube is memory accessed differently, from one look period to the next, which allows Doppler processing for a current look period to happen in parallel with range processing for a next look period. Range processing for a first look period writes to rows of the data cube; Doppler processing reads from and empties its columns. But before Doppler processing can finish, a second look period begins. Rather than re-writing to the rows, range processing in the second look period writes to the columns just emptied by the ongoing Doppler processing. Doppler processing for the first look period is allowed to finish by executing during processing idle times in the second period, e.g., in-between chirps. With better processor utilization, Doppler processing is afforded more time to do its complex operations, while keeping look periods as short as possible.

A moving object detection apparatus repeatedly acquires, from a radar apparatus, observed-point information indicating observed-point positions that are positions of observed points where radar waves are reflected. The apparatus estimates, based on the observed-point positions indicated respectively by a plurality of pieces of the observed-point information and tracking filter coefficients indicating the degree of tracking the observed-point positions, a tracking trajectory tracking movement of a moving object corresponding to a plurality of the observed points. The apparatus determines whether distribution of the plurality of the observed points on both sides of the tracking trajectory is continuously biased to one side of the tracking trajectory. The apparatus sets the tracking filter coefficients so that the tracking degree is higher when the distribution of the plurality of the observed points is determined to be biased than when the distribution of the plurality of the observed points is determined to be not biased.