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Estimation of the Parameters of K-distribution Based on zr log(z) Expectation |
Hu Wen-lin①②; Wang Yong-liang②; Wang Shou-yong② |
①School of Electronic Science and Engineering, NUDT, Changsha 410073, China; ②Key Research Lab.,Wuhan Radar Institute, Wuhan 430019, China |
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Abstract The estimation of the parameters of K-distribution based on the z log(z) expectation approach is extended to zr log(z) expectation. The parameter estimation expression of the based on zr log(z) expectation is derived. When r is taken different values, the accuracies of the estimations based on the zr log(z) expectation are analyzed and compared with one another. Simulation results show that in the parameters range of K distribution radar spiky clutter, the estimation based on zr log(z) expectation is more accurate than z log(z) expectation and Normalised Log Estimator (NLE) approaches when r is less than unity.
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Received: 13 June 2006
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