Title :
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
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;
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
DOI :
10.1109/SPECT.1990.205560
