Radar detection algorithm for GARCH clutter model

被引：15

作者：

Pascual, J. P. ^{[1
,2
]}

von Ellenrieder, N. ^{[1
,2
]}

Hurtado, M. ^{[1
,2
]}

Muravchik, C. H. ^{[1
,3
]}

机构：

[1] UNLP, LEICI, Buenos Aires, DF, Argentina

[2] Consejo Nacl Invest Cient & Tecn CONICET, Buenos Aires, DF, Argentina

[3] Comis Invest Cient Prov Buenos Aires CICpBA, Buenos Aires, DF, Argentina

来源：

DIGITAL SIGNAL PROCESSING | 2013年 / 23卷 / 04期

关键词：

Radar; Detection; Non-Gaussian clutter; GARCH processes; COHERENT; TARGETS;

D O I：

10.1016/j.dsp.2013.02.017

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：

We propose a GARCH model to represent the clutter in radar applications. We fit this model to real sea clutter data and we show that it represents adequately the statistics of the data. Then, we develop a detection test based on this model. Using synthetic and real radar data, we evaluate its performance and we show that the proposed detector offers higher probability of detection for a specified value of probability of false alarm than tests based on Gaussian and Weibull models, especially for low signal to clutter ratios. (C) 2013 Published by Elsevier Inc.

引用

页码：1255 / 1264

页数：10

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