Patent classifications
G01S7/2923
Smart-device-based radar system performing symmetric doppler interference mitigation
Techniques and apparatuses are described that implement a smart-device-based radar system capable of performing symmetric Doppler interference mitigation. The radar system employs symmetric Doppler interference mitigation to filter interference artifacts caused by the vibration of the radar system or the vibration other objects. This filtering operation incorporates the interference artifact within the noise floor, without significantly attenuating reflections from a desired object. This mitigation can filter each radar frame independently without a priori knowledge about the frequency or amplitude of the vibration. The filtering operation is also independent of the Doppler sampling frequency and can handle aliasing. By filtering the interference artifacts, the radar system produces fewer false detections in the presence of vibrations and can detect objects that would otherwise be masked by the interference artifact.
Object sensing apparatus, object sensing method, and computer readable recording medium
An object sensing apparatus 1 includes: an emission unit 11 configured to emit an RF transmission signal as an electromagnetic wave for object sensing; a reception unit 21 configured to receive a reflected wave of the RF transmission signal as an RF reception signal, and use the RF transmission signal to generate a demodulated signal based on the RF reception signal; a distance detection unit 22 configured to detect a distance to the object that reflected the RF transmission signal based on the range spectrum calculated based on the demodulated signal; a behavior detection unit 23 configured to detect behavior of the object based on the range spectrum; a fixed object specifying unit 24 configured to specify a fixed object from among detected objects based on the distance and behavior; and a virtual image specifying unit 25 configured to, if there are two or more objects other than the fixed object among the detected objects, calculate a degree of similarity in the change over time in the behavior for each combination of the objects other than the fixed object, and specify a virtual image based on the degree of similarity.
Systems and Methods for Using Ultrawideband Audio Sensing Systems
Systems and methods for simultaneously recovering and separate sounds from multiple sources using Impulse Radio Ultra-Wideband (IR-UWB) signals are described. In one embodiment, a device can be configured for generating an audio signal based on audio source ranging using ultrawideband signals. In an embodiment the device includes, a transmitter circuitry, a receiver circuitry, memory and a processor. The processor configured to generate a radio signal. The radio signal including an ultra-wideband Gaussian pulse modulated on a radio-frequency carrier. The processor further configured to transmit the radio signal using the transmitter circuitry, receive one or more backscattered signals at the receiver circuitry, demodulate the one or more backscattered signals to generate one or more baseband signals, and generate a set of data frames based on the one or more baseband signals.
Method and apparatus with radar data recognition
A processor-implemented radar data recognition method includes: generating a plurality of pieces of input data, with respectively different dimension configurations, based on radar data of an object; and outputting a recognition result of the object based on the generated plurality of pieces of input data using a recognition model.
METHOD AND APPARATUS WITH RADAR DATA RECOGNITION
A processor-implemented radar data recognition method including generating a plurality of pieces of input data, with respectively different dimension configurations, based on radar data of an object; and outputting a recognition result of the object based on the generated plurality of pieces of input data using a recognition model.
Radar device and object detecting method for radar device
Provided is a radar device including: a transmission circuit that transmits a first transmission signal and a second transmission signal which have frequencies different from each other; a reception circuit that receives the first transmission signal and the second transmission signal which are reflected by one or a plurality of objects as a first reception signal and a second reception signal, a processor, and a memory that stores a command group executable by the processor. Quadrature demodulation is performed with respect to each of the first reception signal and the second reception signal, at least one of the first reception signal and the second reception signal is rotated on an IQ plane in correspondence with a predetermined phase angle corresponding to a predetermined distance, and the first frequency or the second frequency, the first reception signal and the second reception signal of which one is rotated is added or subtracted, and the one or plurality of objects are detected on the basis of a processing result of a processing means.
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.
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.
Extended bandwidth tracking for dynamic environments
A system and method for using coherent aggregated bandwidth over multiple transmissions for improved performance of precision guidance and positioning and of object tracking systems. Angular offset (Az/El) estimations are strongly impacted by interference between direct and (comparable amplitude) ground-reflected signals. In rough ground situations, there could be many ground reflected signals. Bandwidth aggregation as used herein achieves sharper range sidelobes and smaller magnitude multipath interference terms resulting in increasingly accurate interferometric results.
Radar Detection of Range Migrating Targets
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.