High resolution and computationally efficient radar techniques

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 pri...

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Bibliographic Details
Main Authors Varadarajan, Vijay, Myers, Nitin Jonathan, Slobodyanyuk, Volodimir, Fernando, Udara, Rimini, Roberto
Format Patent
LanguageEnglish
Published 29.08.2023
Subjects
ANALOGOUS ARRANGEMENTS USING OTHER WAVES
ANTENNAS, i.e. RADIO AERIALS
BASIC ELECTRIC ELEMENTS
CALCULATING
COMPUTING
COUNTING
DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES
MEASURING
PHYSICS
RADIO DIRECTION-FINDING
RADIO NAVIGATION
TESTING
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Summary: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.
Bibliography:Application Number: US202016885239