GLR Detector in Gaussian Interference Environment with AutoRegressive Spectrum in Multi-Channel of High-Frequency Surface Wave Radar

被引:0
|
作者
Nezamabadi, M. [1 ]
Moniri, M. R. [1 ]
机构
[1] Islamic Azad Univ, Yadegar e Imam Khomeini RAH Shahre Rey Branch, Dept Elect & Elect Engn, Tehran, Iran
关键词
HFSWR; Auto-Regressive Process; Gaussian Spectrum; GLR Detector; ADAPTIVE DETECTION ALGORITHM;
D O I
暂无
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 article explores the M-AR-GLR detector with regard to the Gaussian spectrum on the actual sea clutter that is collected by multi-channel HFSWR. In this study, we will show that a large number of elements have no effect on the correlation matrix of interference samples that cause to reduce the compute volume. Spatial dependence of received sample is less, detector performance will be better. Since the detector performance with fewer number of secondary data is suitable, it can be used in HFSWR. Also in the small signal to noise ratios, the proposed detector can be better than Kelly's GLR [1].
引用
收藏
页码:59 / 62
页数:4
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