Disclosed are a pulse radar apparatus that detects a position and a motion of a target, and an operating method thereof. The pulse radar apparatus includes a clock signal generator that outputs a transmission clock signal and a reception clock signal, a transmitter that generates a first signal, a receiver that receives an echo signal and the reception clock signal, and generates a second signal, and a signal processor that converts the second signal into a digital signal and analyzes the digital signal. The clock signal generator controls a transmission-to-reception clock delay, and generates a synchronization signal. The signal processor converts the digital signal into a representative value and analyzes the second signal using the representative value. The representative value is one of an accumulated sum of the digital signal in a time duration between synchronization signals and an average value of the digital signal in the time duration between synchronization signals.

Disclosed are a pulse radar apparatus that detects a position and a motion of a target, and an operating method thereof. The pulse radar apparatus includes a clock signal generator that outputs a transmission clock signal and a reception clock signal, a transmitter that generates a first signal, a receiver that receives an echo signal and the reception clock signal, and generates a second signal, and a signal processor that converts the second signal into a digital signal and analyzes the digital signal. The clock signal generator controls a transmission-to-reception clock delay, and generates a synchronization signal. The signal processor converts the digital signal into a representative value and analyzes the second signal using the representative value. The representative value is one of an accumulated sum of the digital signal in a time duration between synchronization signals and an average value of the digital signal in the time duration between synchronization signals.

Methods and apparatus disclosed within provide a solution to problems associated with the use of either high frequency or low frequency radar signals. Methods of the present disclosure may transmit high frequency radar signals, transmit low frequency radar signals, receive reflected radar signals, and process the received radar signals using parameters respectively suited for processing high frequency and low frequency radar signals. Evaluations may be performed that allow an apparatus to adapt for limitations associated with the processing of high frequency radar data, the processing of low frequency radar data, or both. Different correlation functions may be performed that allow the apparatus to identify objects and to identify object velocities using different sets of program code instructions. These different evaluations and correlations may result in the generation of a set of “point-cloud” information that may be used by other processes of a sensing apparatus.

Methods and apparatus disclosed within provide a solution to problems associated with the use of either high frequency or low frequency radar signals. Methods of the present disclosure may transmit high frequency radar signals, transmit low frequency radar signals, receive reflected radar signals, and process the received radar signals using parameters respectively suited for processing high frequency and low frequency radar signals. Evaluations may be performed that allow an apparatus to adapt for limitations associated with the processing of high frequency radar data, the processing of low frequency radar data, or both. Different correlation functions may be performed that allow the apparatus to identify objects and to identify object velocities using different sets of program code instructions. These different evaluations and correlations may result in the generation of a set of “point-cloud” information that may be used by other processes of a sensing apparatus.

A digitally implemented radio frequency sensor for physiology sensing may be configured to generate oscillation signals for emitting radio frequency pulses for range gated sensing. The sensor may include a radio frequency transmitter configured to emit the pulses and a receiver configured to receive reflected ones of the emitted radio frequency pulses under control of a microcontroller. The received pulses may be processed by the microcontroller to detect physiology characteristics such as motion, sleep, respiration and/or heartbeat. The microcontroller may be configured to generate timing pulses such as with a pulse generator for transmission of radio frequency sensing pulses. The microprocessor may sample received signals, such as in phase and quadrature phase analogue signals, to implement digital demodulation and baseband filtering of the received signals.

A digitally implemented radio frequency sensor for physiology sensing may be configured to generate oscillation signals for emitting radio frequency pulses for range gated sensing. The sensor may include a radio frequency transmitter configured to emit the pulses and a receiver configured to receive reflected ones of the emitted radio frequency pulses under control of a microcontroller. The received pulses may be processed by the microcontroller to detect physiology characteristics such as motion, sleep, respiration and/or heartbeat. The microcontroller may be configured to generate timing pulses such as with a pulse generator for transmission of radio frequency sensing pulses. The microprocessor may sample received signals, such as in phase and quadrature phase analogue signals, to implement digital demodulation and baseband filtering of the received signals.

Methods, devices and computer readable storage medium for ranging between a tag device (410) and plurality of anchor devices (405). The tag device (410) broadcasts a first poll message (605) to a plurality of anchor devices (405). The tag device (410) receives a plurality of response messages (620) for the first poll message (605) from the plurality of anchor devices (405). The plurality of response messages (620) are transmitted by the plurality of anchor devices (405) at a plurality of response time points. The plurality of response time points are associated with ranks of respective distances among a plurality of distances between the tag device (410) and the plurality of anchor devices (405). After receiving the plurality of response messages, the tag device (410) broadcasts a second poll message to the plurality of anchor devices (405). The ranging efficiency may be improved.

In an azimuth estimation device, a center generation unit configured to generate, for each peak bin extracted by the extraction unit, a center matrix which is a correlation matrix obtained using values of the same peak bin collected from all of transmitting/receiving channels. A surrounding generation unit is configured to generate, for each of one or more surrounding bins of each of the peak bins, a surrounding matrix which is a correlation matrix obtained using values of the same surrounding bin collected from all of the transmitting/receiving channels. An integration unit is configured to generate, for each peak bin, an integrated matrix which is a correlation matrix obtained by weighting and adding the center matrix and the one or more surrounding matrices. An estimation unit is configured to execute an azimuth estimation calculation using the integrated matrix generated by the integration unit.

In an azimuth estimation device, a center generation unit configured to generate, for each peak bin extracted by the extraction unit, a center matrix which is a correlation matrix obtained using values of the same peak bin collected from all of transmitting/receiving channels. A surrounding generation unit is configured to generate, for each of one or more surrounding bins of each of the peak bins, a surrounding matrix which is a correlation matrix obtained using values of the same surrounding bin collected from all of the transmitting/receiving channels. An integration unit is configured to generate, for each peak bin, an integrated matrix which is a correlation matrix obtained by weighting and adding the center matrix and the one or more surrounding matrices. An estimation unit is configured to execute an azimuth estimation calculation using the integrated matrix generated by the integration unit.

Systems, methods, and non-transitory computer-readable media provide an adaptive gating mechanism for radar tracking initialization. Specifically, the radar system obtains measurement data of target points, and then determines, based on the measured position and dopplers of points in the first few scans, whether the doppler and displacement parameters satisfy an initialization constraint. When the initialization constraint is not satisfied, the radar system flags the respective cluster with an initialization flag, and adaptively uses the measured position and doppler of scanned points to determine the gating size for the next scan, instead of using a fixed gate size. When the initialization flag of the same cluster across a few consecutive scans satisfies a combination logic, the radar system determines that the tracking enters into the association stage, e.g., the radar system formally generates a track for the target points along a series of scans.