Title :
Detection of number of sources via exploitation of centro-symmetry property
Author :
Xu, Guanghan ; Roy, Richard H. ; Kailath, Thomas
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Abstract :
Forward/backward (FB) averaging is employed when possible in sensor array processing to improve parameter estimation accuracy by exploiting a centro-symmetry of the signal subspace. While FB averaging effectively doubles the number of data samples, it also introduces intersample correlation. This correlation complicates not only the performance analysis, but the detection of the number of sources as well. It is shown how existing detection procedures such as sequential hypothesis (or likelihood ratio) tests, minimum description length criterion (MDL), and AIC (Akaike information criterion) can be modified when FB averaging is used
Keywords :
array signal processing; parameter estimation; signal detection; AIC; Akaike information criterion; FB averaging; MDL; centrosymmetry property; data samples; forward/backward averaging; intersample correlation; likelihood ratio tests; minimum description length criterion; parameter estimation accuracy; performance analysis; sensor array processing; sequential hypothesis tests; signal subspace; source detection; Array signal processing; Covariance matrix; Direction of arrival estimation; Information systems; Laboratories; Multiple signal classification; Parameter estimation; Sensor arrays; Sensor systems; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226611
