DocumentCode :
2998016
Title :
Direct estimation of multipath signals
Author :
Farrier, D.R. ; McLeod, F.N.
Author_Institution :
Southampton University, Southampton, UK
Volume :
11
fYear :
1986
fDate :
31503
Firstpage :
2827
Lastpage :
2830
Abstract :
A new technique is proposed for the detection and estimation of multipath signals. The technique is based on using source subspace eigenvectors rather than the more frequently used noise subspace eigenvectors[1],[2]. The technique may be applied to linear and to curved arrays. The technique relies on a criterion used in Factor Analysis, called Varimax. The method uses this criterion to transform source eigenvectors into possible signal direction vectors. Comparisons with the MUSIC method [1] are made; results demonstrate that the new technique has better resolution than this method.
Keywords :
Array signal processing; Covariance matrix; Eigenvalues and eigenfunctions; Equations; Karhunen-Loeve transforms; Multiple signal classification; Oceans; Sensor arrays; Signal resolution; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
Type :
conf
DOI :
10.1109/ICASSP.1986.1168571
Filename :
1168571
Link To Document :
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