A radar apparatus is mountable to a vehicle. The radar apparatus includes an observing unit, an estimating unit, a predicting unit, a matching processing unit, and a determining unit. The estimating unit calculates, regarding an initial detection target object, a plurality of velocity estimation values in which folding is presumed, using a velocity observation value calculated by the observing unit. The predicting unit calculates a prediction value from each of the plurality of velocity estimation values. The matching processing unit performs association of the velocity prediction value and the velocity observation value.

Apparatus and associated methods relate to enabling a radar system to use different sensing mechanisms to estimate a distance from a target based on different detection zones (e.g., far-field and near-field). In an illustrative example, a curve fitting method may be applied for near-field sensing, and a Fourier transform may be used for far-field sensing. A predetermined set of rules may be applied to select when to use the near-field sensing mechanism and when to use the far-field mechanism. The frequency of a target signal within a beat signal that has less than two sinusoidal cycles may be estimated with improved accuracy. Accordingly, the distance of a target that is within a predetermined distance range (e.g., two meters range for 24 GHz ISM band limitation) may be reliably estimated.

A non-transitory computer-readable medium stores instructions that cause processors to obtain an N×M range matrix comprising radar data indexed by velocity and antenna and an M×S steering matrix comprising expected phases indexed by antenna and hypothesis angle. For each unique X×Y range slice corresponding to a particular set of X velocities, processors store the particular range slice in a first buffer. For each unique Y×Z steering slice corresponding to a particular set of Y antenna, processors store the particular steering slice in a second buffer. The processors perform beamforming operations on the range, steering, and intermediate slices, storing the result in a third buffer as the intermediate slice. After each steering and range slice for the particular set of X velocities has been iterated through, the processors store the intermediate slice as a beamforming slice for the particular set of X velocities and the hypothesis angles.

Provided herein is a system and method to determine a three-dimensional heading of a target. The system includes a radar sensor that obtains a three-dimensional snapshot of radar data comprising Doppler velocities and spatial positions of a plurality of detection points of a target, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform conducting a first estimation of a three-dimensional heading of the target based on the spatial positions; conducting a second estimation of the three-dimensional heading of the target based on the Doppler velocities; and obtaining a combined estimation of the three-dimensional heading of the target based on a weighted sum of the first estimation and the second estimation.

Methods, devices and instruction-carrying storage operate to track a target object over time and space. The tracking techniques involve obtaining a point cloud of reflection points at time n, a target from time n−1, state information including previous location information for the target and previous group distribution for previous reflection points associated with the target at time n−1; predicting a location of the target at time n based on the state information; determining a gate around the target and which of the multiple reflection points are within the gate; determining, for each of the multiple reflection points determined to be within the gate, a likelihood that the corresponding reflection point is associated with the target; determining current group distribution for the reflection points determined to likely be associated with the target; and outputting the determined current group distribution and current location information of the target.

The present disclosure relates to apparatuses and methods for a radar device. For example, an antenna device has a first set of antennas to establish first propagation channels and a second set of antennas to establish second propagation channels. A signal processing device determines a first differential phase shift among first radar signals propagating via the first propagation channels and a second differential phase shift among second radar signals propagating via the second propagation channels. Antennas of the first set are located at positions that generate the first differential phase shift for a first multitude of target angles, and antennas of the second set are located at positions that generate the second differential phase shift for a second multitude of target angles. The processing device determines an angular position of a target object as a unique target angle that is part of the first and second multitude of target angles.

Efficient super-resolution of stationary objects (e.g., objects on the roadside or above the road) can be achieved in automotive imaging radar by obtaining sensor information regarding the motion of the radar system (e.g., vehicle speed), performing analog plurality of scans of different elevations, removing motion from the data by applying the inverse of the motion of the radar system, applying a beamspace processing algorithm to achieve super resolution, and outputting a detailed high-resolution radar image of the stationary objects.

This radar device comprises a signal generation circuit for generating a baseband signal, a code generation circuit for generating a plurality of code sequences, a phase rotation circuit for applying phase rotation based on one of the code sequences from among the plurality of code sequences to the baseband signal and generating a plurality of code multiplexed transmission signals, and a plurality of transmission antennas for transmitting the plurality of transmission signals. The code length of the plurality of code sequences is greater than the code multiplexing number of the plurality of transmission signals.

An electronic device includes a transmission antenna that transmits a transmission wave, a reception antenna that receives a reflected wave that is the transmission wave having been reflected, and a control unit that detects an object that reflects the transmission wave, based on a transmission signal transmitted as the transmission wave and a reception signal received as the reflected wave. The control unit performs control to detect, as a target, an object having a motion characteristic of a motion of an arm of a person, among objects located around the electronic device.

A polarimetric radar system for object classification and road condition estimation includes a radar transmitter unit for transmitting radar waves of different polarizations, a radar receiving unit for receiving radar waves of different polarizations, a radar signal generating unit for generating and providing the radar waves to be transmitted, a signal processing circuitry for processing the generated and received radar waves, and a signal evaluation unit. The signal evaluation unit receives processed signals from the signal processing circuitry, estimates values for a set of predetermined object parameters on the basis of the received processed signals, and selects an object class from a plurality of predetermined object classes upon detecting a match of the estimated values with one out of a plurality of predetermined sets of object parameters. The signal evaluation unit is configured to provide information that is indicative of the at least one classified object.