DocumentCode
2624249
Title
Positive definite Toeplitz completion in DOA estimation for partially-augmentable nonuniform linear antenna arrays
Author
Abramovich, Y.I. ; Spencer, N.K. ; Gorokhov, A.Y.
Author_Institution
CSSIP, The Levels, SA, Australia
fYear
1996
fDate
24-26 Jun 1996
Firstpage
550
Lastpage
553
Abstract
Maximum-entropy positive-definite completion for partially-specified Toeplitz covariance matrices is developed for DOA estimation in partially-augmentable antenna arrays (those that have an incomplete set of covariance lags). Both the spatial covariance matrix estimation problem and the spatial spectrum estimation problem must be formulated as positive definite Toeplitz completion problems. The latter problem is investigated for two cases; firstly in the case where the available covariance lags ate supposed to be precisely known (deterministic completion). Secondly, we investigate the case where we assume we have sufficient statistics for the DOA estimates in the form of the direct data covariance matrix, obtained by sample averaging on a set of N independent vectors (“snapshots”) originating from a complex Gaussian distribution
Keywords
Gaussian distribution; Gaussian processes; Toeplitz matrices; antenna arrays; covariance matrices; direction-of-arrival estimation; linear antenna arrays; maximum entropy methods; signal sampling; DOA estimation; DOA statistics; Toeplitz covariance matrices; complex Gaussian distribution; covariance lags; deterministic completion; direct data covariance matrix; maximum entropy positive definite completion; nonuniform linear antenna arrays; partially-augmentable antenna arrays; positive definite Toeplitz completion; sample averaging; snapshots; spatial covariance matrix estimation; spatial spectrum estimation; Antenna accessories; Antenna arrays; Apertures; Australia; Covariance matrix; Direction of arrival estimation; Directive antennas; Linear antenna arrays; Sensor arrays; Sparse matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Conference_Location
Corfu
Print_ISBN
0-8186-7576-4
Type
conf
DOI
10.1109/SSAP.1996.534936
Filename
534936
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