Bayesian information theoretic criterion for detection of number of signals in array processing

Author

Sano, A. ; Tsuji, H. ; Nagasawa, K.

Author_Institution

Dept. of Electr. Eng., Keio Univ., Yokohama, Japan

fYear

1990

fDate

10-12 Oct. 1990

Firstpage

129

Lastpage

133

Abstract

The generalized singular value decomposition approach is taken in AR spectral estimation in order to mitigate noise effects on the estimated spectrum. A Baysian information theoretic criterion is derived to attain the optimal truncation of smaller generalized singular values and then the separation of signal subspace and noise subspace. The effectiveness of the proposed criterion is investigated in array signal processing in cases of narrowband and broadband sources in comparison with the other AIC and the MDL criteria.<>

Keywords

antenna arrays; information theory; signal detection; signal processing; spectral analysis; AR spectral estimation; Baysian information theoretic criterion; array signal processing; broadband sources; generalized singular value decomposition; narrowband sources; noise effects; noise subspace; optimal truncation; signal subspace; Array signal processing; Bayesian methods; Digital signal processing; Frequency estimation; Least squares approximation; Narrowband; Predictive models; Signal processing; Signal resolution; Singular value decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on

Conference_Location

Rochester, NY, USA

Type

conf

DOI

10.1109/SPECT.1990.205560

Filename

205560