A novel and useful radar sensor incorporating detection, mitigation and avoidance of mutual interference from nearby automotive radars. The normally constant start frequency sequence for linear large bandwidth FMCW chirps is replaced by a sequence of lower bandwidth chirps with start frequencies spanning the wider bandwidth and randomly ordered in time to create a pseudo random chirp hopping sequence. The reflected wave signal received is reassembled using the known hop sequence. To mitigate interference, the signal received is used to estimate collisions with other radar signals. If detected, a constraint is applied to the randomization of the chirps. The chirp hopping sequence is altered so chirps do not interfere with the interfering radar's chirps. Offending chirps are re-randomized, dropped altogether or the starting frequency of another non-offending chirp is reused. Windowed blanking is used to zero the portion of the received chirp corrupted with the interfering radar's chirp signal.

According to an aspect, method of enhancing a resolution in a radar system having an antenna aperture comprises measuring a first radiation pattern corresponding to a first set of receiving antennas by feeding a known radio frequency (RF) signal over the first set of receiving antennas, wherein the first set of radiation due to an impairment, coherently combining an interpolated radiation pattern with a received radar signal received by the set of receiving antenna when employed for an object detection, to generate a high signal to noise ratio (SNR) received signal, and iteratively combining the high SNR received signal with the interpolated signal to reduce the error due to the impairment.

In an embodiment, a method includes: obtaining a time sequence of measurement frames of a radar measurement of a scene, each measurement frame of the time sequence of measurement frames comprising data samples along at least a fast-time dimension and a slow-time dimension, a slow time of the slow-time dimension being incremented with respect to adjacent radar chirps of the radar measurement, a fast time of the fast-time dimension being incremented with respect to adjacent data samples; determining covariances of the data samples for multiple fast times along the fast-time dimension and using respective distributions of the data samples along the slow-time dimension; determining a range map of the scene based on the covariances using a spectrum analysis; and detecting one or more objects of the scene based on the range map.

A novel and useful system and method by which radar angle and range resolution are significantly improved without increasing complexity in critical hardware parts. A multi-pulse methodology is described in which each pulse contains partial angular and range information consisting of a portion of the total CPI bandwidth, termed multiband chirp. Each chirp has significantly reduced fractional bandwidth relative to monoband processing. Each chirp contains angular information that fills only a portion of the ‘virtual array’, while the full virtual array information is contained across the CPI. This is done using only a single transmission antenna per pulse, thus significantly simplifying MIMO hardware realization, referred to as antenna-multiplexing (AM). Techniques for generating the multiband chirps as well as receiving and generating improved fine range-Doppler data maps. A windowing technique deployed in the transmitter as opposed to the receiver is also disclosed.

A method for processing a radar signal is provided. The method may include receiving chirps of a radar signal, sampling the radar signal, dividing the samples that correspond to the chirp of the radar signal into at least two virtual chirps, and processing the radar signal based on the at least two virtual chirps. Also, a corresponding device is provided.

Methods and systems for mapping boundaries of a given environment by a processor of a computer system, the method comprising: determining a trajectory of the body in the given environment over the given time period; and determining, based on the trajectory of the body in the given environment, one or more of an outer boundary of the given environment, and an inner boundary of the given environment. Methods and systems for mapping functionalities of a given environment executable by a processor of a computer system, the method comprising determining a pattern of movement of a body in the given environment in a given time period; and determining a functional identity of at least one zone in the given environment based on the pattern of movement of the body to obtain a mapped given environment.

Examples disclosed herein relate to radar systems to coordinate detection of objects external to the vehicle and distractions within the vehicle. A method of environmental detection with a radar system includes detecting an object in an external environment of a vehicle with the radar system positioned on the vehicle. The method includes determining a distraction metric from measurements of user activity obtained within the vehicle with the radar system. The method includes adjusting one or more detection parameters of the radar system based at least on the detected object and the distraction metric. Other examples disclosed herein relate to a radar sensing unit for a vehicle that includes an internal distraction sensor, an external object detection sensor, a coordination sensor and a central controller for internal and external environmental detection.

A method for mapping a static scene using a stationary radar unit operative to transmit radar signals towards a scene, the stationary radar unit comprises a set of receiver antennas configured to detect radar signals from arbitrary directions, and the stationary radar unit is configured to measure target velocity in discrete velocity bins, the method comprising: continuously collecting radar signals over time to detect a static scene using the set of receiver antennas; constructing an occupancy map of the static scene using confirmed detections determined from the collected radar signals, where confirmed detections are detections with radar signal strength exceeding a detection threshold and with velocity falling in a zero velocity bin and detections with radar signal strength exceeding the detection threshold and with a non-zero velocity sufficiently low to cause spill over information in the same bin as detections falling in the zero velocity bin.

This disclosure describes a radar system configured to estimate a yaw-rate and an over-the-ground (OTG) velocity of extended targets in real-time based on raw radar detections. This disclosure further describes techniques for determining instantaneous values of lateral velocity, longitudinal velocity, and yaw rate of points of a rigid body in a radar field-of-view (FOV) of the radar system.

Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting user gestures in the presence of saturation. In particular, a radar system 104 employs machine learning to compensate for distortions resulting from saturation. This enables gesture recognition to be performed while the radar system 104's receiver 304 is saturated. As such, the radar system 104 can forgo integrating an automatic gain control circuit to prevent the receiver 304 from becoming saturated. Furthermore, the radar system 104 can operate with higher gains to increasing sensitivity without adding additional antennas. By using machine learning, the radar system 104's dynamic range increases, which enables the radar system 104 to detect a variety of different types of gestures having small or large radar cross sections, and performed at various distances from the radar system 104.