Methods for detecting radar targets are provided. According to one exemplary embodiment, the method includes providing a digital radar signal having a sequence of signal segments. Each signal segment of the sequence is respectively associated with a chirp of a transmitted RF radar signal. The method further includes detecting one or more radar targets based on a first subsequence of successive signal segments of the sequence. For each detected radar target, a distance value and a velocity value are determined. If a group of radar targets having overlapping signal components has been detected, a respective spectral value is calculated for each radar target of the group of radar targets based on a second subsequence of the sequence of signal segments and further based on the velocity values ascertained for the group of radar targets.

Techniques and apparatuses are described that implement a smart device with an integrated radar system. The radar integrated circuit is positioned towards an upper-middle portion of a smart device to facilitate gesture recognition and reduce a false-alarm rate associated with other non-gesture related motions of a user. The radar integrated circuit is also positioned away from Global Navigation Satellite System (GNSS) antennas and a wireless charging receiver coil to reduce interference. The radar system operates in a low-power mode to reduce power consumption and facilitate mobile operation of the smart device. By limiting a footprint and power consumption of the radar system, the smart device can include other desirable features in a space-limited package (e.g., a camera, a fingerprint sensor, a display, and so forth).

According to an aspect, a radar system comprising a transmitter operative to transmit a first set of chirps on a single transmit antenna and a second set of chirps on a plurality of transmit antennas, in that, the first set of chirps forming a first part of a chirp frame and the second set of chirps forming a second part of the chirp frame, a first receiver segment operative to generate a first set of parameters from a first set of received chirps that is reflection of the first set of chirps from one or more objects and a second segment operative to generate a second set of parameters from a second set of received chirps that is reflection of the second set of chirps from the one or more objects part of the received chirp frame and the first set of parameters, wherein, first set of parameters and second set of parameters comprise at least one of range doppler and angle of one or more objects.

An electronic device may include wireless circuitry with sensing circuitry that transmits radio-frequency sensing signals and receives reflected radio-frequency sensing signals. A mixer may generate a series of beat signals based on the sensing signals and the reflected sensing signals. The sensing circuitry may generate a beat phase based on an average of the series of beat signals, a set of phase values based on the series of beat signals, and a phase velocity based on the set of phase values. The sensing circuitry may resolve a phase ambiguity in the beat phase based on the phase velocity to identify a range between the electronic device and an external object. This way may allow the sensing circuitry to generate accurate ranges even in a low signal-to-noise ratio regime, such as when the external object is moving relative to the electronic device.

According to an aspect, a method in a wireless communication receiver comprises receiving a radio frequency (RF) signal, delaying the RF signal with a set of time delays, shifting the RF signal with a set of offset frequencies, compressing in time the RF signal with a set of compression factors, correlating the RF signal after subjecting to said delaying, shifting and compressing in time with a reference signal, and selecting a first delay, first offset frequency, and first compression ratio that corresponds to a peak resulting from said correlating, wherein the said first delay, first offset frequency, and first compression ration representing the difference between the RF signal and the reference signal.

Techniques are disclosed for radar data denoising systems and methods. In one example, a method includes receiving radar data. The method further includes performing a first transform associated with the radar data to obtain transformed radar data. The transformed radar data is associated with a location parameter and a variance that is independent of the location parameter. The method further includes performing a second transform of the transformed radar data to obtain dimensionality-reduced radar data. The method further includes filtering the dimensionality-reduced radar data to obtain denoised dimensionality-reduced radar data. Related devices and systems are also provided.

An object detection system and an object detection method are provided. The object detection system includes a transmitter, a receiver, and a processing circuit. The processing circuit is configured to: control the transmitter to transmit by a predetermined field pattern multiple detection signals in different time frames along a main beam direction; control the receiver to receive multiple reflection signals; correspondingly calculate multiple received powers, distances and velocities; perform a clustering process on the distances and the velocities to find the received powers, the distances and the velocities corresponding to a main target; perform an association process to track the distances and the received powers of the main target in the different time frames; and calculate a power and a distance trend of the main target, and determine whether an early alarm event is to occur according to a relationship between the power and the distance trend.

A vehicle radar system (3) which, for each one of a plurality of radar cycles, is arranged to, provide a measured azimuth angle (θ.sub.m) and radial velocity (v.sub.dm) for a first plurality of detections (9, 20). For each one of the plurality of radar cycles, the radar system (3) is arranged to select one of these detections for each one of two velocity components (v.sub.x, v.sub.y) in a set of components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) to be determined; select one detection from a second plurality of detections (9, 20) for each one of at least one corresponding acceleration component (a.sub.x, a.sub.y; a); calculate the components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) for the selected detections; determine a calculated radial velocity (v.sub.dc) for each one of at least a part of the other detections in the first plurality of detections (9, 20) using the calculated components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a); determine an error between each calculated and measured radial velocity (v.sub.dc, v.sub.dm); and determine the number of inliers. The set of components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) that results in the largest number of inliers is then chosen.

An autonomous vehicle (AV) includes a radar sensor system and a computing system that computes velocities of an object in a driving environment of the AV based upon radar data that is representative of radar returns received by the radar sensor system. The AV can be configured to compute a first velocity of the object based upon first radar data that is representative of the radar return from a first time to a second time. The AV can further be configured to compute a second velocity of the object based upon second radar data that includes at least a portion of the first radar data and further includes additional radar data representative of a radar return received subsequent to the second time. The AV can further be configured to control one of a propulsion system, a steering system, or a braking system to effectuate motion of the AV based upon the computed velocities.

A vehicle radar sensor utilizes Frequency Modulated Continuous Wave (FMCW) radar signals that incorporate non-uniform FMCW chirps having chirp profiles that differ from one another to sense one or more parameters of one or more objects in a field of view of the radar sensor. The chirp profiles may differ from one another in various manners, e.g., based on starting frequency, repetition interval, duration and/or slope, and among other advantages, may be used to enhance sensing of various parameters such as range, Doppler/velocity and/or angle.