Processing of a range-Doppler matrix of a radar system is described. For easy, efficient and rapid ascertainment of a detection threshold of the range-Doppler matrix, only a partial quantity of the cells of the range-Doppler matrix is selected, and the detection threshold is ascertained on the basis of the selected partial quantity of cells of the range-Doppler matrix.

A method and electronic device for radar-based face authentication anti-spoofing for determining access to the electronic device. The electronic device includes a radar transceiver and at least one processor. The at least one processor is configured to transmit, via the transceiver, a first set of signals, generate a channel impulse response (CIR) based on receipt of reflections of the first set of signals, detect a first CIR tap in the CIR, determine a selection of CIR data based on the detected first CIR tap, determine a profile matching metric based on comparison of the selection of CIR data to a set of predetermined reference signals, and determine whether to allow access to the electronic device based on comparison of the profile matching metric to a profile matching threshold.

A method for close-range detection, includes transmitting, via a radar transceiver, radar signals to detect an object. The method also includes determining whether the object includes a pattern code based on reflections of the radar signals received by the radar transceiver. In response to determining that the object includes the pattern code, the method includes identifying range information about a range between the electronic device and the pattern code. The method further includes selecting, based on the range information, one or more signals from the reflections of the radar signals that are reflected off of the pattern code. Additionally, the method includes identifying, based on the one or more signals, information about the pattern code.

An aspect of the present disclosure is directed to and provides radar-reflecting systems and apparatus that employ metasurfaces to produce enhanced radar cross sections that are greater than those produced by the geometry of the surfaces alone. Another aspect of the present disclosure is directed to and provides heat-ducting systems and apparatus that include metasurfaces. A further aspect of the present disclosure is directed to and provides cards with metasurfaces. Exemplary embodiments utilize fractal plasmonic surfaces for a metasurface.

A maritime radar system is provided, comprising a transmitter, a receiver, and one or more processors arranged to provide range and azimuth discrimination of a detection area by performing a delay/Doppler analysis of the echo of a single beam transmitted by the transmitter and received by the receiver.

Disclosed are an indoor non-contact human activity recognition method and system. The method comprises: collecting an indoor reflected signal by using an antenna array; filtering the reflected signal to obtain a noise-removed reflection signal; and inputting the noise-removed reflected signal to a pre-trained human activity recognition model, and determining a human activity category, the human activity recognition model being a pre-trained CNN network model based on a transfer learning algorithm. The recognition method and system have the advantages that: the antenna array is configured for collecting human actions to carry out activity recognition indoors, which can be applied to home-based care scenes; original data is denoised, so that most of high-frequency noises can be removed, and a phase change of the signal is reserved; a CNN structure is adopted for training so as to reduce a complexity of the system location-free sensing.

In an embodiment, a method includes receiving radar signals and detecting motion based on time-domain processing of the received radar signals. In a further embodiment, a radar device includes a receive circuit configured to receive radar signals; and a time-domain processing circuit configured to detect motion based on time-domain processing of the received radar signals

The present disclosure relates to spherical dual-polarization phased array weather radar. The spherical dual-polarization phased array weather radar comprises a spherical crown phased array antenna module, a digital transceiver module and a signal processing module, wherein the spherical crown phased array antenna module comprises a spherical support frame and a plurality of dual-polarization micro-strip radiation units; the dual-polarized micro-strip radiation units are tightly arranged on the spherical support frame; the spherical crown phased array antenna module is used for detecting weather; wireless transmission is carried out between the digital transceiver module and the spherical crown phased array antenna module; the digital transceiver module is used for generating a frequency modulation signal or a phase coding signal required for detecting meteorological targets and receiving an echo signal reflected by the target; and the signal processing module is connected with the digital transceiver module.

A sensor signal processing unit (100) arranged to detect a configuration of parking slots (1a,1b,1c,1d) based on radar detections received from a radar-based sensor system (120). The unit includes a histogram unit arranged to generate a representation of a spatial distribution of a set of radar detection coordinates, and a detection unit arranged to detect the configuration of parking slots. The detection unit is arranged to detect the configuration of parking slots based on a Fourier transform of the representation of spatial distribution.

Various systems and methods for optimizing use of environmental and operational sensors are described herein. A system for improving sensor efficiency includes object recognition circuitry implementable in a vehicle to detect an object ahead of the vehicle, the object recognition circuitry configured to use an object detection operation to detect the object from sensor data of a sensor array, and the object recognition circuitry configured to use at least one object tracking operation to track the object between successive object detection operations; and a processor subsystem to: calculate a relative velocity of the object with respect to the vehicle; and configure the object recognition circuitry to adjust intervals between successive object detection operations based on the relative velocity of the object.