High resolution and computationally efficient radar techniques

US11740327B2 · kind B2 · utility

Assignee

• QUALCOMM Incorporated · US

Inventors

• Volodimir Slobodyanyuk · San Diego, US
• Roberto Rimini · San Diego, US
• Udara Fernando · San Diego, US
• Nitin Jonathan Myers · Austin, US
• Vijay Varadarajan · Austin, US

Key dates

• Filing date: May 27, 2020
• Grant date: Aug 29, 2023
• Expiry date: Sep 18, 2041

Classification

• Technology area (CPC H): Electricity
• CPC primary: H01Q3/42
• WIPO field: Measurement
• WIPO sector: Instruments

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.