A radar system comprises a set of transmitters and a processor coupled to the set of transmitters. The processor is configured to modulate a first portion of a chirp in a chirp frame according to a first phase. The processor is further configured to modulate a second portion of the chirp in the chirp frame according to a second phase and configured to combine the first and second portions of the chirp to produce a phase-modified chirp. The processor is further configured to instruct the set of transmitters to transmit the phase-modified chirp by applying time division multiple access (TDMA) and by directing radio frequency energy according to a target angle and a target gain.

This disclosure aims to accurately track a tracking target regardless of a surrounding environment. A tracking processor may be provided, which includes a tracking processing module configured to perform processing of tracking a tracking target, and a congestion degree calculating submodule configured to calculate a degree of congestion of objects located within an area including an estimated position of the tracking target. The tracking processing module may perform the processing of tracking the tracking target based on a value of the congestion degree calculated by the congestion degree calculating submodule.

The present disclosures discloses a method of target feature extraction based on millimeter-wave radar echo, which mainly solves the problems that techniques in the prior art cannot fully utilize raw radar echo information to obtain more separable features and cannot accurately distinguish targets with similar physical shapes and motion states. The method is implemented as follows: acquiring measured data of targets, generating an original RD map, and removing ground clutter of the map; sequentially performing target detection, clustering and centroid condensation on the RD map after the ground clutter removal; acquiring a continuous multi-frame RD maps and carrying out the target tracking; according to the tracking trajectory, selecting candidate areas and extracting features based on a single piece of RD map and features based on two successive RD maps, respectively.

In a vital sign sensor of the present invention, an antenna assembly radiates an oscillation signal generated by a SIL oscillator to an object in a form of a wireless signal and receives a reflected signal from the object, and the reflected signal can have the SIL oscillator injection-locked. The wireless signal radiated from the antenna assembly is transmitted to a demodulator for demodulation such that the vital signs of the object can be obtained. Additionally, an isolator of the antenna assembly is provided to prevent the SIL oscillator from receiving a clutter reflected from the demodulator and an environment where the demodulator is placed. As a result, the clutter can't influence the vital sign detection of the object.

A frequency domain transforming unit (231-1) performs a transform into a frequency domain in such a way that a Doppler velocity bin is the same for each of different transmission frequencies. A correlation unit (232-1) generates signals based on a velocity and a range after correlation, the signals being separate for each of the transmission frequencies. An integrating unit (233-1) generates band-synthesized signals based on a velocity and a range after correlation. A target candidate detecting unit (241) performs detection of a target candidate on output signals of the integrating unit (233-1) on the basis of signal strength. A target's relative-velocity/relative-range/arrival-angle calculating unit (242) calculates a relative velocity, a relative range, and an arrival angle of the target candidate.

There is provided a method for acquiring information regarding terrain and/or objects within a volume, said method comprising: transmitting signals over time (node signals) from one or more nodes of a wireless network (subject network); receiving the node signals after their traversing a medium (node resultant signals) using one or more receiving units (node signal receivers); measuring one or more physical attributes (signal attributes) for one or more of the node resultant signals, wherein at least one of the signal attributes is of at least one of the following types: (a) time difference between node signal transmission by the applicable transmitting subject network node and node resultant signal reception by the applicable node signal receiver; (b) phase difference between the transmitted node signal and the received node resultant signal; (c) power ratio between the transmitted node signal and the received node resultant signal; (d) frequency difference between the received node resultant signal and the transmitted node signal (Doppler shift); and/or (e) direction from which the node resultant signal has arrived, and/or its projection on one or more predefined axes; estimating the spatial location as a function of time for one or more of the transmitting subject network nodes and/or one or more of the node signal receivers; and analyzing one or more of the node resultant signals and/or one or more of the signal attributes to extract information regarding objects along the signal's paths (mapping information).

A method in an illustrative embodiment includes determining that a first object authenticated by an electronic device is accessing the electronic device. The method further includes, in response to a second object being detected within a detection range using a radar of the electronic device, determining, based on a detected signal, that the second object is a person. The method further includes determining a distance and an angle between the second object and the electronic device based on an azimuth signal in the detected signal. The method further includes in response to determining that the distance is less than a distance threshold and the angle is less than an angle threshold, determining, based on the biological feature signal, whether the second object is trustworthy. The method further includes deauthenticating the first object in response to determining that the second object is untrustworthy.

Systems and methods are provided for morphological components analysis (MCA) techniques for efficient maritime target detection. Embodiments of the present disclosure provide systems, methods, and devices for determining the free parameter for MCA analysis. Embodiments of the present disclosure using MCA utilize effective pre-processing step(s) that separate target signals from clutter, thereby improving the overall performance of subsequent target detection processing. Systems and methods in accordance with embodiments of the present disclosure can optimize the value of the parameter , significantly affecting MCA performance.

A radar system includes a set of transmitters and a processor coupled to the set of transmitters, which includes first, second, third and fourth transmitters. In operation, the processor generates a first chirp of a set of chirps, in which outputs of the first and second transmitters are modulated by a first phase and outputs of the third and fourth transmitters are modulated by a second phase; and generate a second chirp of the set of chirps, in which outputs of the first and fourth transmitters are modulated by the first phase and outputs of the second and third transmitters are modulated by the second phase.

Aspects of the disclosure are directed towards obstacle position and extent measurement. In accordance with one aspect, obstacle detection includes creating one or more interferometric measurements to generate a flow of response position locations using a flow of range/Doppler detections by fitting a parametric expression; and deriving one or more scatterer positions and obstacle position and extent measurements from the flow of response position locations.