公开(公告)号：US12158541B2

公开(公告)日：2024-12-03

申请号：US17000228

申请日：2020-08-21

Applicant: QUALCOMM Incorporated

Inventor： Roberto Rimini ,  Tsai-Chen Huang ,  Nitin Jonathan Myers

IPC: G06F16/58 ,  A61B5/00 ,  A61B5/0205 ,  A61B5/0507 ,  G01S7/00 ,  G01S7/35 ,  G01S7/41 ,  G01S13/34 ,  H04W52/30 ,  A61B5/024 ,  A61B5/08 ,  G06F16/583

Abstract: Aspects of the disclosure relate to radar-based signaling for detecting, measuring, and/or characterizing a target object. An electronic device may transmit a plurality of detection signals and receive a plurality of reflection signals reflected from the target object. The electronic device then processes the plurality of reflection signals to extract one or more parameters of the target object. Based on the reflection signals, the device can measure and/or characterize the target object, e.g., to obtain a heart rate and/or breathing rate. In other examples, the device may determine whether the reflection signals indicate human vital signs, such as a heart rate or breathing. The electronic device may then adjust at least one transmission parameter based on whether human vital signs are detected at the target object, and transmit the adjusted signal using the transmission parameter. Other aspects, embodiments, and features are also claimed and described.

公开(公告)号：US11740327B2

公开(公告)日：2023-08-29

申请号：US16885239

申请日：2020-05-27

Applicant: QUALCOMM Incorporated

Inventor： Volodimir Slobodyanyuk ,  Roberto Rimini ,  Udara Fernando ,  Nitin Jonathan Myers ,  Vijay Varadarajan

IPC: G01S7/41 ,  G01S13/42 ,  G06F17/14 ,  G06F17/16 ,  G01S7/35 ,  H01Q3/42

CPC classification number: G01S7/418 ,  G01S7/352 ,  G01S7/411 ,  G01S7/414 ,  G01S13/42 ,  G06F17/141 ,  G06F17/16 ,  H01Q3/42

Abstract: Methods, systems, computer-readable media, and apparatuses for determining one or more attributes of at least one target based on eigenspace analysis of radar signals are presented. In some embodiments, a subset of eigenvectors to use for forming a signal or noise subspace is identified based on principal component analysis. In some embodiments, the subset of eigenvectors is identified based on estimating the total number of targets using a discrete Fourier transform (DFT) or other spectral analysis technique. In some embodiments, a DFT is used to identify areas of interest in which to perform eigenspace analysis. In some embodiments, a DFT is used to estimate one attribute of a target, and eigenspace analysis is performed to estimate a different attribute of the target, with the results being combined to generate a multi-dimensional representation of a field of view.