Abstract
This paper presents an improved localization approach in heavy sea bottom reverberation, in active detection. The mathematical model of fractional Fourier transform(FrFT) on underwater acoustic data is derived and thereby ocean reverberation suppression mechanism is achieved. And the approach of sparse target spatial spectral estimation in fractional Fourier(FrF) domain based on singular value decomposition(SVD) is proposed. An experiment was conducted in heavy sea bottom reverberation, and the results of direction of arrival(DOA) estimation fully demonstrate the improved localization performance in the presence of heavy sea bottom reverberation by proposed method.
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