A method of transmitting and receiving a radar signal is disclosed. The method includes: receiving a first chirp signal output by a second radar sensor located outside an electronic device, wherein the receiving is performed by a first radar sensor of the electronic device, changing an operation mode of the first radar sensor from a detection mode to a reception mode, based on the received first chirp signal, receiving a second chirp signal generated by the second radar sensor, through a receiver of the first radar sensor, according to the change to the reception mode, and obtaining information about at least one object located within a specified proximity of the electronic device, based on the received second chirp signal. The second chirp signal is generated based on the first chirp signal and a first response signal corresponding to the first chirp signal.

A method of transmitting and receiving a radar signal is disclosed. The method includes: receiving a first chirp signal output by a second radar sensor located outside an electronic device, wherein the receiving is performed by a first radar sensor of the electronic device, changing an operation mode of the first radar sensor from a detection mode to a reception mode, based on the received first chirp signal, receiving a second chirp signal generated by the second radar sensor, through a receiver of the first radar sensor, according to the change to the reception mode, and obtaining information about at least one object located within a specified proximity of the electronic device, based on the received second chirp signal. The second chirp signal is generated based on the first chirp signal and a first response signal corresponding to the first chirp signal.

A system performs operations including receiving pairs of sensor signals indicative of imaging of an environment, each pair of sensor signals including (i) a first sensor signal received from a first sensor and including first spatial coordinates and a first signal characteristic and (ii) a second sensor signal including second spatial coordinates and a second signal characteristic. The operations include identifying valid pairs of sensor signals, including determining that an address including the first coordinates of the first sensor signal of a given pair and the second coordinates of the second sensor signal of the given pair corresponds to an admissible address in a set of admissible addresses stored in a data storage. The operations include identifying, from among the valid pairs of sensor signals, pairs of sensor signals that satisfy a threshold, including determining that a value based on a combination of the first signal characteristic of a given pair and the second signal characteristic of the given pair satisfies a threshold value. The operations include generating a representation of a target in the environment based on the identified pairs of sensor signals that satisfy the threshold.

A system for using radio frequency (RF) communication signals to extract situational awareness information thorough deep learning. Pre-processing is performed to maximally preserve discriminating features in spatial, temporal and frequency domains. A specially designed neural network architecture is used for handling complex RF signals and extracting spatial, temporal and frequency domain information. Data collection and training is used so that the learning system desensitizes from features orthogonal to the underlying classification problem.

An intelligent control method and system using a radar security camera are disclosed, wherein a target is detected by 360° radar sensing regardless of the rotation radius of a camera by using the security camera having a built-in radar, and the camera is enabled to track the target according to the moving direction and specific signs of the target after the target is identified as a person and a vehicle sequentially according to a decision priority order.

Disclosed herein are systems, devices, and methods that may be used for autonomous driving and/or in autonomous vehicles. Some embodiments use an integrated wide-aperture multi-band radar subsystem and leverage the unique propagation properties of multiple bands and/or multiple sensor technologies to significantly improve detection and understanding of the scenery and, in particular, to see around corners to identify non-line-of-sight targets. In some embodiments, at least one processor of the system is capable of jointly processing return (reflected) signals in multiple bands to provide high accuracy in a variety of conditions (e.g., weather). The disclosed radar subsystem can be used alone or in conjunction with another sensing technology, such as, for example, LiDAR and/or cameras.

A system for localizing an object in an indoor environment. The system uses a plurality of wireless access points and at least one cooperative mobile network device. The cooperative mobile network device is connected to at least one of the wireless access points. The wireless access points and the cooperative mobile network device sense first and second signal propagation data of wireless signals transmitted via the wireless communication network. The cooperative mobile network device evaluates the second signal propagation data and determines its own position based on the data and the positions of the wireless access points. A position of an object is obtained based on the evaluated first and second signal propagation data, the positions of the wireless access points and the determined position of the cooperative mobile network device.

A vehicle operating system (10) for controlling operation of a vehicle (12) in an area (26) in which a safe working area (SWA) (30) is demarcated includes a periphery generator module (22) for generating a periphery of a zone of interest about the vehicle (12) and to output zone data. A scanning arrangement (36) is mountable to the vehicle (12) for scanning a region about the vehicle (12), including the zone of interest, for obstacles, the scanning arrangement (36) outputting obstacle data. A processing module (20) is responsive to the zone data, the obstacle data and SWA data relating to the SWA (30) to determine if a detected obstacle is within both the SWA (30) and the zone of interest. The processing module (20) causes action to be taken regarding further traversal of the area (26) by the vehicle (12) depending on whether or not both conditions are satisfied.

A spatially-distributed architecture (SDA) of antennas transmits respective uniquely coded signals. A first receiver having a known position in a coordinate system defined by the SDA receives reflected versions of the uniquely coded signals. A first processor receives the reflected versions of the uniquely coded signals and identifies a position of a non-cooperative object in the coordinate system. A platform with a platform receiver receives non-reflected versions of the uniquely coded signals. The platform determines a position of the platform in the coordinate system. In an example, the platform uses a self-determined position and a position of the non-cooperative object communicated from the SDA to navigate or guide the platform relative to the non-cooperative object. In another example, the platform uses a self-determined position and information from an alternative signal source in a second coordinate system to guide the platform. Guidance solutions may be generated in either coordinate system.

Provided are a radar communication integrated cooperative detection method and apparatus based on beam power distribution. The method comprises: determining a farthest detection distance and a detection volume of a single radar in a radar communication integrated system during transmitting of a detection beam when the radar has a preset transmit power; determining a communication success probability of each pair of radars during transmitting communication beams; determining a detection area volume of each pair of radars under different power distribution coefficients based on the farthest detection distance, the detection volume, a different power distribution coefficient of the single radar, and the communication success probability of each pair of radars; determining a power distribution coefficient corresponding to a largest detection area volume from different detection area volumes as a current power distribution coefficient; and determining total detection volume of the radar communication integrated system based on the detection area volume of each pair of radars and the current power distribution coefficient.