Patent classifications
G01S7/2923
Systems and methods for adaptive clutter removal from radar scans
Various embodiments of the present technology can include systems, methods, and non-transitory computer readable media configured to adaptively identify clutter points representing static objects from a sensor data scan. A plurality of sensor data scans are captured, by a sensor unit placed on a vehicle, at a plurality of consecutive time instants while the vehicle is traveling along a route. A set of target points from each of the plurality of sensor data scans is identified. A characteristic indicative of a trajectory pattern relating to one or more respective sets of target points is obtained from one or more sensor data scans taken at consecutive time instants. In response to determining that the characteristic satisfies a pre-defined condition, an indicator with the respective sets of target points is adopted as relating to one or more static objects in an environment at which the vehicle is situated.
Reducing a state based on IMU and radar
This document describes techniques and systems for reducing a state based on sensor data from an Inertial Measurement Unit (IMU) and radar. The techniques and systems use inertial sensor data from an IMU as well as radar data to reduce states of a user equipment, such as power, access, and information states. These states represent power used, an amount of access permitted, or an amount of information provided by the user equipment. The techniques manage the user equipment's states to correspond to a user's engagement with the user equipment, which can save power, reduce unwarranted access, and reduce an amount of information provided when the user is not engaged with the user equipment, thereby protecting the user's privacy.
Authentication Management Through IMU and Radar
This document describes techniques and systems for authentication management through IMU and radar. The techniques and systems use inertial sensor data from an inertial measurement unit (IMU) and/or radar data to manage authentication for a computing device. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for computing-device authentication.
RADAR DETECTOR AND INTERFERENCE SUPPRESSION METHOD USING RADAR DETECTOR
A radar detector including a radar transmitting device, a radar receiving device, an analog-to-digital converter (ADC), and a digital processing unit, and an interference suppression method using the radar detector are provided. The radar transmitting device transmits a first wireless signal. The radar receiving device receives a second wireless signal to generate an analog reference signal in response to the first wireless signal is subdued from being transmitted, and receives a third wireless signal to generate an analog main signal in response to the first wireless signal is not subdued from being transmitted. The ADC generates a digital reference signal according to the analog reference signal, and generates a digital main signal according to the analog main signal. The digital processing unit adjusts the digital or analog main signal according to the digital reference signal to correspondingly suppress interference components in the digital main signal or in the analog main signal.
PHASE CORRECTING DEVICE, DISTANCE MEASURING DEVICE, PHASE FLUCTUATION DETECTING DEVICE AND PHASE CORRECTION METHOD
A phase correcting device includes a local oscillator that includes an all digital phase-locked loop configured to output a local oscillation signal, a first phase detector configured to detect a phase of the local oscillation signal to output the phase of the local oscillation signal, a reference phase device configured to generate a quasi-reference phase corresponding to a reference phase of the local oscillation signal to output the quasi-reference phase, based on a reference clock, a second phase detector configured to detect a fluctuation amount of a phase of the local oscillator, based on the phase detected by the first phase detector and the quasi-reference phase, and a correction circuit configured to correct the phase of the inputted signal by using a detection result of the second phase detector.
RECEIVER PROCESSING CIRCUITRY FOR MOTION DETECTION AND RELATED SYSTEMS, METHODS, AND APPARATUSES
Motion detection using channel impulse response signals and related systems, methods, and apparatuses are disclosed. An apparatus includes an analog input terminal of a receiver processing circuitry, an analog to digital converter (ADC) circuitry, and a processor. The analog input terminal receives a reflected predetermined pattern signal provided by a receiver antenna. The ADC circuitry samples the reflected predetermined pattern signal received by the analog input terminal to generate reflected predetermined pattern samples. The processor determines an average of magnitudes of a sum of collections of the reflected predetermined pattern samples and determines whether a moving object is sensed responsive to the determined average and a predetermined threshold value.
Radar detection of migrating targets using an interference correlation matrix
A computer-implemented method is provided for detecting a target amidst clutter by a radar system able to transmit an electromagnetic signal, receive first and second echoes respectively from the target and the clutter, and process the echoes. The method includes determining signal convolution matrix for the target and a target return phase, clutter amplitude by spatial correlation matrix of clutter, clutter correlation matrix, receive noise power; querying whether the clutter moves as a motion condition if satisfied and as a stationary condition otherwise; calculating signal convolution matrix and target return phase from the signal convolution matrix and the target return phase for target motion; querying whether the target has range migration as a migration condition if satisfied and as a non-migration condition otherwise; and forming a target detector for the radar. The motion condition further includes calculating signal convolution matrix from clutter motion, clutter range migration matrix from the clutter motion, and interference correlation matrix. The stationary condition further includes calculating the interference correlation. The migration condition further includes calculating range migration matrix from the target motion.
Radar-based Cross-sectional Image Reconstruction of Subject
One or more aspects of this disclosure relate to the usage of an impulse radio ultra-wideband (IR-UWB) radar to reconstruct a cross-sectional image of subject in a noninvasive fashion. This image is reconstructed based on the pre- and post-processing of recorded waveforms that are collected by the IR-UWB radar, after getting reflected-off the subject. Furthermore, a novel process is proposed to approximate the different tissues' dielectric constants and, accordingly, reconstruct a subject's cross-sectional image.
Method and device for measuring a distance to a target in a multi-user environment by means of at least one detector
A method for measuring a distance to a target in a multi-user environment by means of at least one sensor, comprising: irradiating the environment by means of a series of radiation pulses, wherein series of radiation pulses are emitted at a determined repetition rate and with a determined random delay; collecting pulses that are reflected or scattered from the environment to at least a detector connected to at least one chronometer; assigning a timestamp at every detected pulse on the detector; subtracting the added delay from every registered timestamp coming from the chronometer, the result corresponding to the time of arrival; determining the statistical distribution of said time of arrival; determining the distance to the target from said statistical distribution.
Radar-based cross-sectional image reconstruction of subject
One or more aspects of this disclosure relate to the usage of an impulse radio ultra-wideband (IR-UWB) radar to reconstruct a cross-sectional image of subject in a noninvasive fashion. This image is reconstructed based on the pre- and post-processing of recorded waveforms that are collected by the IR-UWB radar, after getting reflected-off the subject. Furthermore, a novel process is proposed to approximate the different tissues' dielectric constants and, accordingly, reconstruct a subject' cross-sectional image.