非整数阶矩对加噪声帕累托分布杂波参数估计的影响

Taha Hocine Kerbaa, A. Mezache, H. Oudira
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摘要

本文研究了一种改进的非整数正负阶矩估计器对Pareto加噪声形状参数的精确估计。NIPNOME的封闭形式在之前的工作中得到[16]。在阶矩值固定的单脉冲情况下,当阶矩值较高时,会产生不理想的形状参数估计。为了提高估计性能,利用NelderMead算法对考虑模型的形状和非整数阶矩两个参数适应度函数进行了优化。首先利用模拟的帕累托加噪声数据检验了阶矩对NIPNOME的影响。然后,通过IPIX数据库,使用Pareto加噪声pdf和ccdf进行拟合比较,其中使用[zlog(z)]和NIPNOME来阐明所提出估计器的鲁棒性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Non-Integer Order Moments on Parameter Estimation of Pareto Distributed Clutter plus Noise
In this paper, accurate estimate of the Pareto plus noise shape parameter using a modified non-integer positive and negative order moment estimator is investigated. Closed form of the NIPNOME is derived in a previous work [16]. In single pulse case with a fixed value of the order moment, undesirable shape parameter estimates are obtained for high shape parameter values. In the prospect of improving the estimation performance, the NelderMead algorithm is used to optimize two parameters fitness function involving the shape and the non-integer order moment of the considered model. The impact of the order moment on the NIPNOME is examined firstly using simulated Pareto plus noise data. Then, via IPIX database, fitting comparisons are carried out using Pareto plus noise PDFs and CCDFs where [zlog(z)] and NIPNOME are employed to elucidate the robustness of the proposed estimator
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