DocumentCode
3008902
Title
Minimum variance spectral estimation for broadband source location using steered covariance matrices
Author
Krolik, Jeffrey ; Eizenman, Moshe
Author_Institution
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
fYear
1988
fDate
11-14 Apr 1988
Firstpage
2841
Abstract
An approach is presented for reducing the threshold observation time required to perform high resolution broadband bearing estimation. The proposed technique is based on a space-time statistic called the steered covariance matrix (STCM). In broadband settings, the STCM has an advantage over the well-known cross-spectral density matrix (CSDM) in that it can be estimated with much greater statistical stability. The STCM is used in conjunction with minimum variance spectral estimation to obtain a broadband spatial spectral estimate with a much lower threshold observation time than the CSDM-based minimum-variance distortionless response (MVDR) method
Keywords
acoustic arrays; acoustic signal processing; spectral analysis; acoustic arrays; acoustic signal processing; broadband source location; cross-spectral density matrix; space-time statistic; spectral estimation; steered covariance matrices; threshold observation time; Acoustic arrays; Acoustic sensors; Covariance matrix; Frequency estimation; Narrowband; Position measurement; Sensor arrays; Signal resolution; Spatial resolution; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location
New York, NY
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1988.197245
Filename
197245
Link To Document