In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

A method and apparatus with radar signal processing are included. A method includes transmitting, through transmission antenna elements, a radar signal at a transmission time interval corresponding to a time division multiplexing (TDM) latency, receiving a reflected signal of the radar signal through reception antenna elements, determining directions of arrival (DOAs) respectively corresponding to the transmission antenna elements by classifying radar data corresponding to the reflected signal, wherein the classifying is based on the transmission time interval, determining an unambiguous element of a phase error element by applying an ambiguous Doppler velocity that is based on the radar data to the phase error element of the individual DOA data, and determining integrated DOA data corresponding to the transmission antenna elements by integrating the individual DOA data by suppressing an ambiguous element of the phase error element.

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.

Disclosed are systems, apparatuses, processes, and computer-readable media to implement a heterogenous biometric authentication process in a control system. A process includes obtaining radar information identifying measured properties of at least one object in an environment, generating pre-processed radar information for input into a neural network at least in part by processing the obtained radar information, generating an object detection output for the at least one object at least in part by detecting the at least one object using the neural network with the pre-processed radar information as input, and modifying, based on the obtained radar information, the object detection output for the at least one object.

Disclosed are systems, apparatuses, processes, and computer-readable media to implement a heterogenous biometric authentication process in a control system. A process includes obtaining radar information identifying measured properties of at least one object in an environment, generating pre-processed radar information for input into a neural network at least in part by processing the obtained radar information, generating an object detection output for the at least one object at least in part by detecting the at least one object using the neural network with the pre-processed radar information as input, and modifying, based on the obtained radar information, the object detection output for the at least one object.

Methods for detecting radar targets are provided. According to one exemplary embodiment, the method includes providing a digital radar signal having a sequence of signal segments. Each signal segment of the sequence is respectively associated with a chirp of a transmitted RF radar signal. The method further includes detecting one or more radar targets based on a first subsequence of successive signal segments of the sequence. For each detected radar target, a distance value and a velocity value are determined. If a group of radar targets having overlapping signal components has been detected, a respective spectral value is calculated for each radar target of the group of radar targets based on a second subsequence of the sequence of signal segments and further based on the velocity values ascertained for the group of radar targets.

An electromagnetic wave field data processing method is provided and includes determining loss-free electromagnetic wave field data corresponding to electromagnetic wave field data according to the electromagnetic wave field data; performing first amplitude compensation on the electromagnetic wave field data and the loss-free electromagnetic wave field data; extracting waveform information; determining a first sequence corresponding to the electromagnetic wave field data and a second sequence corresponding to the loss-free electromagnetic wave field data which meet a preset condition respectively from the waveform information, determining time sequences corresponding to the first sequence and the second sequence; and determining an attenuation coefficient of the electromagnetic wave field data according to a first preset mode and performing second amplitude compensation on the electromagnetic wave field data according to the attenuation coefficient.

An electromagnetic wave field data processing method is provided and includes determining loss-free electromagnetic wave field data corresponding to electromagnetic wave field data according to the electromagnetic wave field data; performing first amplitude compensation on the electromagnetic wave field data and the loss-free electromagnetic wave field data; extracting waveform information; determining a first sequence corresponding to the electromagnetic wave field data and a second sequence corresponding to the loss-free electromagnetic wave field data which meet a preset condition respectively from the waveform information, determining time sequences corresponding to the first sequence and the second sequence; and determining an attenuation coefficient of the electromagnetic wave field data according to a first preset mode and performing second amplitude compensation on the electromagnetic wave field data according to the attenuation coefficient.

According to an aspect, a radar system comprising a transmitter operative to transmit a first set of chirps on a single transmit antenna and a second set of chirps on a plurality of transmit antennas, in that, the first set of chirps forming a first part of a chirp frame and the second set of chirps forming a second part of the chirp frame, a first receiver segment operative to generate a first set of parameters from a first set of received chirps that is reflection of the first set of chirps from one or more objects and a second segment operative to generate a second set of parameters from a second set of received chirps that is reflection of the second set of chirps from the one or more objects part of the received chirp frame and the first set of parameters, wherein, first set of parameters and second set of parameters comprise at least one of range doppler and angle of one or more objects.

An electronic device may include wireless circuitry with sensing circuitry that transmits radio-frequency sensing signals and receives reflected radio-frequency sensing signals. A mixer may generate a series of beat signals based on the sensing signals and the reflected sensing signals. The sensing circuitry may generate a beat phase based on an average of the series of beat signals, a set of phase values based on the series of beat signals, and a phase velocity based on the set of phase values. The sensing circuitry may resolve a phase ambiguity in the beat phase based on the phase velocity to identify a range between the electronic device and an external object. This way may allow the sensing circuitry to generate accurate ranges even in a low signal-to-noise ratio regime, such as when the external object is moving relative to the electronic device.