DocumentCode
2956416
Title
Adaptive structured eigenvector methods
Author
Orfanidis, Sophocles
Author_Institution
Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA
fYear
1990
fDate
3-6 Apr 1990
Firstpage
2683
Abstract
An adaptive eigenstructure method for angle-of-arrival estimation is presented. This method consists of applying subspace iteration to a special structured basis of the signal or noise subspace. At each iteration, the method eliminates the spurious zeros associated with the degeneracy of the noise subspace and provides estimates of the zeros containing the desired angle-of-arrival information. Thus, it is well-suited for tracking nonstationary sources. The method is the adaptive version of the reduced MUSIC block processing method
Keywords
eigenvalues and eigenfunctions; estimation theory; iterative methods; signal detection; spectral analysis; tracking; adaptive eigenstructure method; adaptive version; angle-of-arrival estimation; angle-of-arrival information; iteration; noise subspace; nonstationary sources; reduced MUSIC block processing method; subspace iteration; tracking; Convergence; Covariance matrix; Delay; Hoses; Multiple signal classification; Narrowband; Performance analysis; Polynomials; Power measurement; Sensor arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location
Albuquerque, NM
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1990.116178
Filename
116178
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