A method and system improve on the accuracy of detecting the presence of people in a room. Aspects of the embodiments may be used for occupancy sensors by monitoring occupant physiological movements. In an embodiment, a Doppler radar sensor may be used to measure the occupant-related physiological signals, calculate the Riemann integral (RI) of the occupants' cardiopulmonary movement displacement, body movement index (BMI), and amplitude difference accumulation (ADA) of the body movement. A determination for detection of occupants may be by adaptive thresholding.

A method according to an embodiment includes receiving UWB data by an access control device, performing predictive analysis on the UWB data to generate expected location data associated with a location of a mobile device, determining a velocity of the mobile device and a heading of the mobile device based on the UWB data, determining whether the mobile device is on course to a passageway associated with the access control device based on the velocity and the heading of the mobile device, performing state estimation to determine whether the mobile device is within a secure distance threshold from the passageway, wherein the secure distance threshold dynamically changes based on the velocity of the mobile device, and inferring ingress intent of a user of the mobile device in response to determining that the mobile device is within the secure distance threshold and on course to the passageway.

A warning control device provided in a vehicle is disclosed. The warning control device includes a hardware processor to: determine whether a section in which the vehicle is travelling is a section prohibited from overtaking; determine whether the vehicle is attempting an overtaking action; and, in response to determining that the vehicle is travelling in the section prohibited from overtaking and that the vehicle is attempting the overtaking action, control a warning device connected to the warning control device to warn a driver of the vehicle when the overtaking by the vehicle is not permitted in accordance with driving rules, and control the warning device not to warn the driver when the overtaking by the vehicle is permitted in accordance with the driving rules.

A method of determining a filling level of a product in a tank using a radar level gauge system comprising a transceiver, an antenna, and processing circuitry, the method comprising the steps of: generating and transmitting a transmit signal; receiving a reflection signal resulting from reflection of the transmit signal; determining based on the transmit signal and the reflection signal, for each surface echo candidate, a first measure indicative of a distance and a second measure indicating a rate-of-change distribution of the distance; assigning one surface echo candidate as most likely to correspond to single reflection of the transmit signal at the surface of the product, based on an evaluation of the second measure for each surface echo candidate; and determining the filling level based on the first measure for the assigned surface echo candidate.

The present disclosure relates to a radar apparatus including a transmitter for transmitting a frequency-modulated continuous-wave radar signal, wherein the transmitter is configured to generate the continuous-wave radar signal with a sinusoidally varying modulation frequency, a receiver for receiving a reflection signal of the frequency-modulated continuous-wave radar signal, which is reflected by at least one object, and for mixing the reflection signal with the frequency-modulated continuous-wave radar signal in order to obtain a downmixed reception signal, and a device for correlating the downmixed reception signal with at least one pattern signal which is based on the modulation frequency and a predetermined distance.

The techniques and systems herein enable target-velocity estimation using position variance. Specifically, a plurality of detections of a target are received for respective times as the target moves relative to a host vehicle. Based on the detections, two-dimensional positions of the target relative to the host vehicle are determined for the respective times. Based on the positions of the target at the respective times, a first variance is determined for a first dimension of the positions, and a second variance is determined for a second dimension of the positions. Based on the first and second variances, an estimated velocity of the target is calculated. By basing the estimated velocity on the variances of the positions, more-accurate estimated velocities may be generated sooner, thus enabling better performance of downstream operations.

This application provides a signal processing method and apparatus, may be applied to the field of automatic driving or intelligent driving, in particular to millimeter wave radar target detection. The method includes: A detection apparatus receives at least one first signal corresponding to a first transmit antenna, and performs beamforming processing on the at least one first signal to generate a first beam; and determines information about the first target based on the first beam and a phase of a second beam corresponding to at least one second signal. By this solution, the detection apparatus such as a single-input multiple-output SIMO radar, a multiple-input multiple-output MIMO radar or a cooperative radar, may determine, based on a phase of the first beam and the phase of the second beam, a Doppler phase difference, and determine, based on the Doppler phase difference, the information about the first target.

A signal processing system according to the present disclosure includes a difference calculation unit and a determination unit. The difference calculation unit uses a sensor signal at a reference timing and a plurality of the sensor signals at a plurality of comparative timings shifted from the reference timing. The difference calculation unit generates a plurality of differential signals as respective differences between the sensor signal at the reference timing and the plurality of the sensor signals at the plurality of comparative timings and obtains respective magnitudes of the plurality of differential signals as a plurality of differential values. The determination unit obtains an evaluation value based on the plurality of differential values and determines a property of the object by using the evaluation value.

A method for recognizing a motion state of an object by using a millimeter wave radar having at least one antenna is disclosed. The method includes the following steps. A region is set to select an object in the region, wherein the object has M ranges and M azimuths between the object and the at least one antenna during a first motion time. Each of the M ranges and the M azimuths are projected on a two-dimensional (2D) plane to form M frames. The M frames are sequentially arranged into a first consecutive candidate frames having a time sequence. The first consecutive candidate frames are inputted into an artificial intelligence model to determine a motion state type of the first consecutive candidate frames.

A system for monitoring at least one projectile during flight. The system includes a radar apparatus, a trigger, and a processor. The radar apparatus transmits a radar signal that includes a base radar frequency signal with a frequency shift. The radar signal has a signal profile in a direction of a chosen target and reflects off the projectile(s) traveling through the signal profile toward the target. The radar apparatus receives at least one reflected signal from the projectile(s). The trigger is operably coupled to the radar apparatus to automatically initiate operation of the radar apparatus. The processor collects data from the radar apparatus and calculates velocity of the projectile(s) based thereon. The present disclosure further provides a method of monitoring the projectile(s) during flight with the system. The present disclosure further provides a chronograph system with a housing, aiming device with a peep sight, and a trigger.