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.
[1]
Arthur B. Baggeroer,et al.
An overview of matched field methods in ocean acoustics
,
1993
.
[2]
T. C. Yang,et al.
Improved vertical array performance in shallow water with a directional noise field
,
1998
.
[3]
Richard J. Vaccaro,et al.
Optimal matrix-filter design
,
1996,
IEEE Trans. Signal Process..
[4]
Leon H. Sibul,et al.
Maximum likelihood estimation of the locations of multiple sources in an acoustic waveguide
,
1993
.
[5]
H. Bucker.
Use of calculated sound fields and matched‐field detection to locate sound sources in shallow water
,
1976
.