Estimation of K-distributed clutter by using characteristic function method
Detection performance of the maritime radars is often limited by the unwanted sea echo or clutter. K-distribution is one of the long-tailed densities which is known in the signal processing community for fitting the radar sea clutter accurately. In this paper, a novel approach for estimating the par...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknologi Malaysia
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/14571/1/Estimation%20of%20K-distributed%20clutter%20by%20using%20characteristic%20function%20method.pdf http://psasir.upm.edu.my/id/eprint/14571/ https://jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/223 |
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| Summary: | Detection performance of the maritime radars is often limited by the unwanted sea echo or clutter. K-distribution is one of the long-tailed densities which is known in the signal processing community for fitting the radar sea clutter accurately. In this paper, a novel approach for estimating the parameter of K-distribution is presented. The method is derived from the empirical characteristic function of the quadrature components. Simulation results show a great improvement in term of estimated bias and variance, compared with any existing non-maximum likelihood method. |
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