Abstract
Knowledge of the properties of acoustic Green’s functions can assist in the development of effective blind deconvolution algorithms for enhancing the classification performance of active and passive sonar systems. Green’s functions have been produced representing the acoustic propagation of signals in a given shallow ocean multipath environment. Simulated noise-free received signals are the result of convolving the Green’s functions with representative source signals. Wavelet analysis is performed on the Green’s functions, the source signals, and the received signals. Forty different wavelets are tested. Comparison of the wavelet transform coefficients illustrates similarities and differences in signal properties. Significant differences can be exploited to separate the source from the Green’s functions in the multichannel received signals for blind deconvolution source recovery. [Work supported by ONR.]
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