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It is difficult to estimate the parameters of K-distribution in inhomogeneous reverberation or clutter, which usually consists of interferences such as strong scattering objects in sonar data or sea-spikes in… Click to show full abstract
It is difficult to estimate the parameters of K-distribution in inhomogeneous reverberation or clutter, which usually consists of interferences such as strong scattering objects in sonar data or sea-spikes in radar data. In this article, a shape parameter adaptive estimation scheme based on fuzzy statistical normalization processing is proposed to improve the estimation accuracy by adaptively suppress the interferences. Influences imposed by the interferences were studied and analyzed. Performance analysis based on simulated data and real sonar data showed that the proposed adaptive estimation method can suppress the interferences adaptively and, thus, improve the performance of K-distribution shape parameter estimation remarkably.
Journal Title: IEEE Transactions on Aerospace and Electronic Systems
Year Published: 2022
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