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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.197245