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
相关论文
共 50 条
  • [31] MAXIMUM LIKELIHOOD ESTIMATION OF REGULARISATION PARAMETERS
    Vidal, Ana Fernandez
    Pereyra, Marcelo
    2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2018, : 1742 - 1746
  • [32] Maximum likelihood and restricted maximum likelihood estimation for a class of Gaussian Markov random fields
    De Oliveira, Victor
    Ferreira, Marco A. R.
    METRIKA, 2011, 74 (02) : 167 - 183
  • [33] Maximum likelihood and restricted maximum likelihood estimation for a class of Gaussian Markov random fields
    Victor De Oliveira
    Marco A. R. Ferreira
    Metrika, 2011, 74 : 167 - 183
  • [34] Fisher information and maximum-likelihood estimation of covariance parameters in Gaussian stochastic processes
    Abt, M
    Welch, WJ
    CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 1998, 26 (01): : 127 - 137
  • [35] Asymmetric Generalized Gaussian Distribution Parameters Estimation based on Maximum Likelihood, Moments and Entropy
    Nacereddine, Nafaa
    Goumeidane, Aicha Baya
    2019 IEEE 15TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP 2019), 2019, : 343 - 350
  • [36] Knowledge-based target detection in compound Gaussian clutter with inverse Gaussian texture
    Xue, Jian
    Xu, Shuwen
    Shui, Penglang
    DIGITAL SIGNAL PROCESSING, 2019, 95
  • [37] ON MAXIMUM LIKELIHOOD AND PSEUDO-MAXIMUM LIKELIHOOD ESTIMATION IN COMPOUND INSURANCE MODELS WITH DEDUCTIBLES
    Paulsen, Jostein
    Stubo, Knut
    ASTIN BULLETIN, 2011, 41 (01): : 1 - 28
  • [38] INADMISSIBILITY OF THE MAXIMUM-LIKELIHOOD ESTIMATOR OF THE INVERSE GAUSSIAN MEAN
    HSIEH, HK
    KORWAR, RM
    RUKHIN, AL
    STATISTICS & PROBABILITY LETTERS, 1990, 9 (01) : 83 - 90
  • [39] INAPPROPRIATENESS OF ITERATIVE MAXIMUM-LIKELIHOOD-ESTIMATION PROCEDURES
    ORLOV, AI
    INDUSTRIAL LABORATORY, 1986, 52 (05): : 460 - 462
  • [40] OPTIMAL INFERENCE OF THE INVERSE GAMMA TEXTURE FOR A COMPOUND-GAUSSIAN CLUTTER
    Fayard, Patrick
    Field, Timothy R.
    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 2969 - 2972
12345