An ultra-wideband assisted precise positioning system and an ultra-wideband assisted precise positioning method are provided. The method includes: arranging a plurality of device nodes in a target area; configuring a central control device node to communicatively connect to the device nodes; configuring the device nodes to perform a positioning process to obtain measured distances and positioning positions to be corrected; and configuring a central control processor to execute a positioning algorithm. The positioning algorithm includes: obtaining the measured distances and the positioning positions to be corrected; for each of the positioning positions to be corrected, performing a center-of-gravity weighting processing on neighboring points for obtaining initial guess positions; and obtaining the initial guess positions to input to an optimizer and optimize an objective function, and finding corrected positions with relatively smallest errors. The objective function includes empirical weights associated with distance errors of the measured distances.

A method is provided for localizing mobile tags using a system including a plurality of anchors located at known locations, the method including: transmitting a plurality of ultra-wideband (UWB) localization packets using respective anchors of the plurality of anchors, in which each of the plurality of localization packets is transmitted by a respective anchor of the plurality of anchors at a different respective delay time; and transmitting an update UWB packet with either an anchor of the plurality of anchors that does not transmit one of the localization packets, or with a mobile tag, in which the localization packets include no payloads, the update packet includes a payload, and in which successive ones of the plurality of localization packets and the update packet overlap with each other in time. A system for localizing mobile tags is also provided.

The invention relates to a dual detector with a detection head (10), comprising:—a platform (11) and—an induction sensor fastened to the platform (11) and comprising a transmitter coil (12) and a receiver coil (13), the transmitter coil (12) and the receiver coil (13) each forming a loop, the loop of the transmitter coil (12) overlapping the loop of the receiver coil (13) at least partially so as to form a coupling zone (14), the coupling zone (14) being elongated in a first longitudinal direction defining a first axis (X.sub.1), the handle (20) extending in a plan (P.sub.1) normal to the platform (11) and the first axis (X.sub.1) of the coupling zone (14) being transverse to this plane (X.sub.1).

A vehicular forward-sensing system includes a radar sensor and a forward viewing image sensor disposed within a windshield electronics module that is removably installed within the vehicle cabin at the vehicle windshield. A control is responsive to an output of the radar sensor and responsive to an output of the image sensor. Responsive to the image sensor viewing an object present in the path of forward travel of the vehicle and responsive to the radar sensor sensing the object present in the path of forward travel of the vehicle, the control determines that the object is an object of interest by processing by an image processing chip of image data of the object captured by the image sensor at a portion of an image plane of the image sensor that is spatially related to a location of the object present in the path of forward travel of the vehicle.

A radar apparatus with a transmission antenna array that outputs a high aspect ratio frequency modulation continuous wave (FMCW) transmission beam that illuminates a large field of regard in elevation and may be both electronically and mechanically scanned in azimuth. The weather radar apparatus includes a receive array and receive electronics that may receive the reflected return radar signals and digitally form a plurality of receive beams that may be used to determine characteristics of the area in the field of regard. The receive beams may be used to determine reflectivity of weather systems and provide a coherent weather picture. The weather radar apparatus may simultaneously process the receive signals into monopulse beams that may be used for accurate navigation as well as collision avoidance.

Disclosed is an electronic device including a communication circuit and a processor. The processor may be configured to communicate with an external electronic device based on a specified protocol, using the communication circuit, to receive first information at least including type information of the external electronic device based on the specified protocol, using the communication circuit, and to determine a positioning master for measuring a distance between the electronic device and the external electronic device based at least on the first information among the electronic device and the external electronic device. Other various embodiments as understood from the specification are also possible.

A radar system includes an antenna array including a plurality of antenna elements; and a transmitter portion coupled to the antenna array, the transmitter portion being configured to sequentially transmit a first transmit beam and a second transmit beam from a single pulse, the first transmit beam and second transmit beam being formed using the same aperture of the antenna array, wherein a skew angle of the first transmit beam is distinct from a skew angle of the second beam. Such radar system alternatively transmitting through subarrays and receiving each via the entire array and combining the signals such that the transmit and receive parts of one of two 2-way beams point in the same direction and the transmit and receive parts of the second 2-way beam point in the same direction and these directions are within a standard beamwidth of each other.

A GPR system the implements a modified multistatic mode of operation is provided. The GPR is suitable for mounting on an unmanned aerial vehicle. The GPR system has radar transceivers. The GPR system transmits transmit signal serially via the transceivers. For each transceiver that transmits a transmit signal, the GPR system receives a return signal acquired by each transceiver except for a return signal for the transceiver that transmits the transmit signal. The GPR system outputs of matrix of return signals that includes a null value for the return signals of the transceivers that transmit.

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.

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.