We propose a processing methodology for shallow-water reverberationsuppression in which acoustic propagation and scattering physics are used as a guide to develop simple, but still accurate representations for the receiveddata which are motivated by the ease of development of efficient signal-processing algorithms. The methodology is demonstrated by showing that temporally spread reverberation components can be accurately modeled using a reduced-rank representation and expansion by discrete prolate spheroidal sequences. These represenations lead to the application of the Principal Component Inverse (PCI) method and the reduced-rank generalized likelihood-ratio test (RR-GLRT) for suppressing reverberation and the development of an iterative scheme for estimating arrival times in the presence of temporally spread reverberation components. We also present a performance analysis of the RR-GLRT. Using both simulated and real data, it is shown that these methods perform well.
SourceIn: (1) Model-Aided Data Adaptive Suppression of Reverberation presented at the Low Frequency Active Sonar Conference, SACLANT Undersea Research Centre, La Spezia, Italy, May 1993, (2) Modeling and Suppression of Reveberation Components presented at the Seventh SP Workshop on Statistical Signal and Array Processing, Quebec City, QC, Canada, June 1994, and (3) Analysis and Interpretation of the
Reduced-Rank Generalized Likelihood-Ratio Test presented at the VII European Signal Processing Conference, University of Edinburgh, Scotland, UK, September 1994.
Kirsteins, Ivars P.