A monitoring system for monitoring a monitoring area according to one or more embodiments may include a first sensor for detecting movement of a moving object in the monitoring area, a second sensor for determining entry and exit of a person in the monitoring area, and a control device connected to the first sensor and the second sensor. When the first sensor detects movement of the moving object, the control device is configured to determine entry and exit of a person in the monitoring area by referring to a detection result by the second sensor.

The present disclosure discloses a system for echo intensity calibration based on continuous wave weather radar data. The system includes a communication module used for establishing a network protocol or local protocol-based communication link between a radar receiver and a radar terminal computer; a main control module which is in communication connection with the communication module to receive radar data of the radar receiver or a control signal of the radar terminal computer and execute an echo intensity calibration strategy; and a storage module which temporarily stores continuous wave weather radar data, and aircraft echo power values that are identified by the main control module within a period of time.

Examples relating to vehicle velocity calculation using radar technology are described. An example method performed by a computing system may involve, while a vehicle is moving on a road, receiving, from two or more radar sensors mounted at different locations on the vehicle, radar data representative of an environment of the vehicle. The method may involve, based on the data, detecting at least one scatterer in the environment. The method may involve making a determination of a likelihood that the at least one scatterer is stationary with respect to the vehicle. The method may involve, based on the determination being that the likelihood is at least equal to a predefined confidence threshold, calculating a velocity of the vehicle based on the data from the sensors. The calculated velocity may include an angular and linear velocity. Further, the method may involve controlling the vehicle based on the calculated velocity.

Examples relating to vehicle velocity calculation using radar technology are described. An example method performed by a computing system may involve, while a vehicle is moving on a road, receiving, from two or more radar sensors mounted at different locations on the vehicle, radar data representative of an environment of the vehicle. The method may involve, based on the data, detecting at least one scatterer in the environment. The method may involve making a determination of a likelihood that the at least one scatterer is stationary with respect to the vehicle. The method may involve, based on the determination being that the likelihood is at least equal to a predefined confidence threshold, calculating a velocity of the vehicle based on the data from the sensors. The calculated velocity may include an angular and linear velocity. Further, the method may involve controlling the vehicle based on the calculated velocity.

A system and method providing a radar-based motion-sensing user interface suitable for issuing commands to a device or system as a consequence of the detection of user motion, whole-body gestures and/or hand gestures. The system and method derive a three-dimensional representation of a user within a defined space from two-dimensional data obtained from multiple reflected radar signals. The three-dimensional representation is then processed to recognize a human body, and in particular the movement and/or position of the body and/or body parts and joints. The recognized movement and/or position are then compared to a known list of gestures and movements that are associated with particular device/system commands. If one or more of the recognized movements and/or positions conforms with a command movement/gesture, the associated command is issued to the device or system being controlled.

System, methods, and other embodiments described herein relate to sensing interactions of a passenger with components within a vehicle. In one embodiment, a method includes acquiring, from a radar of a vehicle, radar data about a passenger cabin of the vehicle. The method includes determining a current state of the passenger cabin according to the radar data. The method includes, responsive to identifying that the current state indicates that a passenger satisfies a threshold in relation to an unpermitted action, generating a response that counters the unpermitted action.

Doppler signal processing device for detecting an object according to a received wireless signal. The Doppler signal processing device includes a frequency analysis unit for generating a frequency domain signal vector according to at least one digital signal, an interference suppression unit for performing a suppression operation according to the frequency domain signal vector and a frequency domain interference estimation signal vector to generate an interference suppressed frequency domain signal vector, an interference estimation unit for generating the frequency domain interference estimation signal vector according to the frequency domain signal vector, a detection unit for generating a result signal according to the interference suppressed frequency domain signal vector, an error detection unit for optionally providing an error detection control signal to the interference estimation unit to adjust a rate of updating the frequency domain interference estimation signal vector.

An electronic device may include a voltage standing wave ratio (VSWR) sensor disposed along a radio-frequency transmission line between a signal generator and an antenna. The VSWR sensor may gather VSWR measurements from radio-frequency signals transmitted by the signal generator over the transmission line. Control circuitry may identify a variation in the VSWR measurements over time and may compare the variation to a threshold value to determine whether an external object in the vicinity of the antenna is animate or inanimate. The control circuitry may reduce the maximum transmit power level of the antenna when the external object is animate and may maintain or increase the maximum transmit power level when the external object is inanimate. This may serve to maximize the wireless performance of the electronic device while also ensuring that the device complies with regulatory limits on radio-frequency energy exposure.

A method for contactless vital sign monitoring includes transmitting, via a transceiver, radar signals for object detection. The method also includes generating a clutter removed channel impulse response from received reflections of the radar signals a portion of which are reflected off of a living object. The method further includes identifying a set of range bins corresponding to a position of the living object. Additionally, the method includes identifying a first set of signal components representing a respiration rate of the living object and a second set of signal components representing a heart rate of the living object.

A radar authentication method includes after obtaining output data of a to-be-authenticated radar, a computer device that first invokes a prediction model to obtain predicted data of the to-be-authenticated radar based on the output data of the to-be-authenticated radar, where the prediction model is obtained through training based on output data of a target radar. Then the computer device verifies, based on the predicted data of the to-be-authenticated radar and the output data of the to-be-authenticated radar, whether the to-be-authenticated radar and the target radar are the same radar.