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Matched-field methods concern estimation of source locations and/or ocean environmental parameters by exploiting full wave modeling of acoustic waveguide propagation. Typical estimation performance demonstrates that sidelobe ambiguities dominate the estimation at low signal-to-noise ratio (SNR), leading to a threshold performance behavior. An adaptive estimator, such as minimum variance distortionless...
Modern acoustic signal processing is often a combination of sound propagation physics and advanced signal processing algorithms, which involves intensive acoustic, environmental, and statistical modeling. This paper discusses three different statistical signal models in low-frequency matched-field processing accounting for different source and channel conditions, and presents the Cramer-Rao bound...
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