Title :
Robust adaptive matched-field-processing
Author :
Lee, Y.P. ; Mikhakevky, P. ; Freese, H. ; Hanna, J.
Author_Institution :
Sci. Applications Int. Corp., McLean, VA, USA
Abstract :
Matched-field-processing (MFP) includes the acoustic environmental information in the estimate of an array steering vector. Adaptive processing uses the instantaneous measured signal and noise vectors (fields) to minimize the contributions from those components that do not match the steering vector. Adaptive MFP, then, is an optimal method for source localization and detection. But, when there is mismatch between the actual (measured) signal vector and the replica (calculated) vector, there is a serious degradation in the performance of adaptive MFP. Several algorithms have been developed to reduce this sensitivity to mismatch
Keywords :
acoustic signal processing; acoustic environmental information; array steering vector; robust adaptive matched-field-processing; source detection; source localization; Acoustic distortion; Acoustic measurements; Covariance matrix; Degradation; Eigenvalues and eigenfunctions; Nonlinear distortion; Robustness; Signal processing; Signal to noise ratio; Stochastic processes;
Conference_Titel :
OCEANS '93. Engineering in Harmony with Ocean. Proceedings
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-1385-2
DOI :
10.1109/OCEANS.1993.326220
