DocumentCode :
1239124
Title :
A generalized MVDR spectrum
Author :
Benesty, Jacob ; Chen, Jingdong ; Huang, Yiteng Arden
Author_Institution :
Univ. du Quebec, Montreal, Que., Canada
Volume :
12
Issue :
12
fYear :
2005
Firstpage :
827
Lastpage :
830
Abstract :
The minimum variance distortionless response (MVDR) approach is very popular in array processing. It is also employed in spectral estimation where the Fourier matrix is used in the optimization process. First, we give a general form of the MVDR where any unitary matrix can be used to estimate the spectrum. Second and most importantly, we show how the MVDR method can be used to estimate the magnitude squared coherence function, which is very useful in so many applications but so few methods exist to estimate it. Simulations show that our algorithm gives much more reliable results than the one based on the popular Welch´s method.
Keywords :
Fourier transforms; array signal processing; channel bank filters; matrix algebra; spectral analysis; Fourier matrix; MVDR spectrum estimation; array processing; magnitude squared coherence function; minimum variance distortionless response; optimization; periodogram; Array signal processing; Band pass filters; Covariance matrix; Filtering; Frequency; Jacobian matrices; Parameter estimation; Parametric statistics; Signal processing; Yield estimation; Capon; coherence function; cross-spectrum; minimum variance distortionless response (MVDR); periodogram; spectral estimation; spectrum;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2005.859517
Filename :
1542110
Link To Document :
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