Maximum-likelihood estimation for frequency-hopping parameters by cauchy distribution

被引：0
|
作者：
Jin Y. [1 ]
Li S. [1 ]
Ji H. [1 ]
机构：
[1] School of Electronic Engineering, Xidian University, Xi'an
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2016年 / 38卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Alpha-stable distribution; Frequency Hopping (FH) signals; Maximum-likelihood estimator; Parameter estimation; Two-dimensional plane;
D O I：
10.11999/JEIT151029
中图分类号：
学科分类号：
摘要：
In view that conventional methods for Frequency Hopping (FH) signal parameter estimation suffer from performance degradation in alpha stable noise environment, the Cauchy based maximum likelihood estimation method is introduced in this paper. The FH signal is decomposed into the two-dimensional envelope versus frequency plane, and then a maximum-likelihood function based on Cauchy distribution is established to extract the frequency parameter directly. For the short-time stationarity of FH signals, the maximum-likelihood function is windowed in order to estimate the specific values and sequence of frequency-hopping, after that the hopping timing and the duration can be estimated. Simulation results show that compared with the fractional lower order statistics as well as the Myriad filter based time frequency analysis methods, the proposed method improves the estimation accuracy of FH signal parameters and is robust to the alpha stable distribution noise. © 2016, Science Press. All right reserved.
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页码：1696 / 1702
页数：6
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