Iterative maximum likelihood estimation of the compound inverse Gaussian clutter parameters

被引：0
|
作者：
Belhi, K. [1 ]
Soltani, F. [1 ]
Mezache, A. [1 ]
机构：
[1] Univ Freres Mentouri Constantine, Dept Elect, Lab Signaux & Syst Commun, Constantine, Algeria
来源：
ELECTRONICS LETTERS | 2020年 / 56卷 / 13期
关键词：
maximum likelihood estimation; Gaussian distribution; thermal noise; radar clutter; compound inverse Gaussian clutter parameters; iterative maximum likelihood estimator; noninteger order moments estimator; higher order moment estimator; IMLE method; similar estimation performance; MLE method; iterative maximum likelihood estimation;
D O I：
10.1049/el.2020.0508
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This Letter aims at proposing a cost-effective method for estimating the parameters of the compound inverse Gaussian distributed clutter. Under the assumption of the absence of thermal noise, an iterative maximum likelihood estimator (IMLE) is proposed and compared with existing MLE, the [zlog(z)] estimator, the non-integer order moments estimator and the higher order moment estimator. The results obtained show that the IMLE method outperforms all the other methods and has similar estimation performance than the MLE method but requires lower computational time.
引用
收藏
页码：677 / +
页数：2
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