DOA estimation by eigendecomposition using single vector Lanczos Algorithm.

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Authors
Gear, Daniel E.
Subjects
direction of arrival
Lanczos
eigendecomposition
Advisors
Tummala, Murali
Date of Issue
1989-06
Date
June 1989
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Subspace methods of solving spectral estimation and direction of arrival (DOA) problems involve finding the eigenvalues and eigenvectors of correlation matrices. Using the Lanczos algorithm some of the extreme eigenvalues and eigenvectors can be approximated without requiring the entire matrix decomposition theoretically saving many computations. This thesis develops a model and a form of the Lanczos algorithm to solve the DOA problem. The relationship of the number of eigenvectors used to the accuracy of the results in a low signal to noise ratio example are examined.
Type
Thesis
Description
Series/Report No
Department
Electrical Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
72 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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