Matrix filter design for passive sonar interference suppression
Date of Original Version
The performance of passive acoustic signal-processing techniques can become severely degraded when the acoustic source of interest is obscured by strong interference. The application of matrix filters to suppress interference while passing a signal of interest with minimal distortion is presented. An algorithm for single-frequency matrix filter design is developed by converting a constrained convex optimization problem into a sequence of unconstrained problems. The approach is extended to broadband data by incoherently combining the responses of matrix filters designed at frequencies across a band of interest. The responses of single-frequency and multifrequency matrix filters are shown. Examples are given which demonstrate the effectiveness of matrix filtering applied to matched-field localization of a weak source in the presence of a strong interferer and noise. These examples show the matrix filter effectively suppressing the interference, thereby enabling the localization of the weak source. Standard matched-field processing, without matrix filtering, is not effective in localizing the weak source. © 2004 Acoustical Society of America.
Journal of the Acoustical Society of America
Vaccaro, Richard J., Amit Chhetri, and Brian F. Harrison. "Matrix filter design for passive sonar interference suppression." Journal of the Acoustical Society of America 115, 6 (2004): 3010-3020. doi:10.1121/1.1736653.