Fast high-resolution techniques applied to the Direction of Arrival (DOA) of signals problem

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Authors
Ferreira Filho, Milton Pinto
Subjects
High-resolution
Minimum norm
Direction of Arrival
Angle of Arrival
Eigenstructure
Autocorrelation matrix
Correlation matrix
Tracking
Moving sources
Advisors
Fargues, Monique P.
Hippenstiel, Ralph
Date of Issue
1992-09
Date
September 1992
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Subspace decomposition methods are a very useful technique to extract the signal information via Eigen-based estimators. Although these techniques are very accurate, they are usually expensive to update, becoming difficult to implement for real-life applications. The Rank-Revealing QR (RRQR) factorization introduced by Chan, offers an attractive alternative to perform the subspace selection. In this work, we use the RRQR algorithm applied to the Direction of Arrival (DOA) problem to track moving sources, using passive linear arrays. In addition to the regular RRQR algorithm originally proposed by Chan, this thesis introduces an improvement. This refinement uses the signal subspace information and requires very little additional computation. It takes advantage of the Hermitian property of the signal correlation matrix and is implicitly equivalent to applying one subspace iteration step to the estimated signal subspace. Simulations show that the performance obtained is equivalent to that obtained using classical Eigen-based techniques. Alternative algorithms for finding an approximation of the smallest singular vector of the correlation matrix are discussed and compared to the original method. The final product is an adaptive algorithm that allows for tracking of DOA angles when moving sources are present. An analysis of the number of flops needed to execute the adaptive algorithm based on the RRQR factorization to track the DOA of moving sources has been included, showing its feasibility for being used in real-time implementations.
Type
Thesis
Description
Series/Report No
Department
Department of Electrical and Computer Engineering
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
100 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner
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