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.

In accordance with described examples, a method determines if a velocity of an object detected by a radar is greater than a maximum velocity by receiving on a plurality of receivers at least one frame of chirps transmitted by at least two transmitters and reflected off of the object. A velocity induced phase shift (φ.sub.d) in a virtual array vector S of signals received by each receiver corresponding to a sequence of chirps (frame) transmitted by each transmitter is estimated. Phases of each element of virtual array vector S are corrected using φ.sub.d to generate a corrected virtual array vector S.sub.c. A first Fourier transform is performed on the corrected virtual array vector S.sub.c to generate a corrected virtual array spectrum to detect a signature that indicates that the object has an absolute velocity greater than a maximum velocity.

A sensor includes a transmit antenna, a receive antenna, circuitry, and a memory. The transmit antenna includes N transmit antenna elements each transmitting a transmit signal. The receive antenna includes M receive antenna elements each receiving N receive signals including reflection signals reflected by an organism. The circuitry extracts a second matrix corresponding to a predetermined frequency range from an N×M first matrix representing propagation characteristics between each transmit antenna element and each receive antenna element calculated from the receive signals. The circuitry estimates the position of the organism by using the second matrix, and calculates a radar cross-section value with respect to the organism, based on the estimated position and the positions of the transmit antenna and the receive antenna. The circuitry then estimates the posture of the organism by using the calculated radar cross-section value and information indicating associations between radar cross-section values and postures of the organism.

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.

A method for interference reduction in a stationary radar unit of a frequency-modulated continuous-wave (FMCW) type is provided. A sequence of beat signals is received, and a reference beat signal is calculated as an average or a median of one or more of the beat signals in the sequence. By comparing a difference between a beat signal and the reference beat signal, or a derivative of the difference, to one or more thresholds, a segment which is subject to interference is identified. The segment of the beat signal is replaced by one or more of a corresponding segment of an adjacent beat signal in the sequence, and a corresponding segment of the reference beat signal.

In various examples, methods and systems are provided for sampling and transmitting the most useful information from a radar signal representing a scene while staying within the computational and storage confines of a standard automotive radar sensor and the bandwidth constraints of a standard communication link between a radar sensor and processing unit. Disclosed approaches may select a patch of frequency bins that correspond to radar signals based at least on proximities of the frequency bins to one or more frequency bins corresponding to at least one peak and/or detection point in the radar signals. Data representing samples corresponding to the patch of frequency bins may be transmitted to the processing unit and applied to one or more machine learning models in order to accurately classify, identify, and/or track objects.

An operation method performed by an apparatus for detecting multiple targets may comprise transmitting first signals using M.sub.t transmit antennas included in the apparatus; receiving the first signals reflected by the multiple targets through M.sub.r receive antennas included in the apparatus; generating a first function for estimating a velocity and an azimuth of each of the multiple targets using the first signals and the reflected first signals; estimating a velocity and an azimuth that maximize a result of the first function as a velocity and an azimuth of a first target closest to the apparatus among the multiple targets; generating a second function by cancelling interference caused by the first target from the first function; and estimating a velocity and an azimuth that maximize a result of the second function as a velocity and an azimuth of a second target among the multiple targets.

A method of implementing frequency division multiple access (FDMA) in a radar system of a vehicle includes transmitting a chirp signal from each of a plurality of transmit elements of the radar system simultaneously. The chirp signal transmitted by each of the plurality of transmit elements increases or decreases linearly in frequency over a frequency range over a duration of time and the frequency range of the chirp signal transmitted by adjacent ones of the plurality of transmit elements partially overlapping. The method also includes processing a reflection received based on reflection of the chirp signal transmitted by the plurality of transmit elements by one or more objects and controlling an operation of the vehicle based on locating the one or more objects.

In an embodiment, a method includes: receiving reflected radar signals with a millimeter-wave radar; performing a range discrete Fourier Transform (DFT) based on the reflected radar signals to generate in-phase (I) and quadrature (Q) signals for each range bin of a plurality of range bins; for each range bin of the plurality of range bins, determining a respective strength value based on changes of respective I and Q signals over time; performing a peak search across the plurality of range bins based on the respective strength values of each of the plurality of range bins to identify a peak range bin; and associating a target to the identified peak range bin.