Rao and Wald Tests for Moving Target Detection in Forward Scatter Radar

被引：1
|
作者：
Wang, Zeyu [1 ]
Chen, Hongmeng [2 ]
Li, Yachao [3 ]
Wang, Dewu [2 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] Beijing Inst Radio Measurement, Beijing 100854, Peoples R China
[3] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
来源：
REMOTE SENSING | 2024年 / 16卷 / 02期
基金：
中国国家自然科学基金;
关键词：
adaptive detection; forward scatter radar; moving target; Rao test; Wald test; ADAPTIVE DETECTION; INTERFERENCE; PERFORMANCE;
D O I：
10.3390/rs16020211
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper deals with adaptive moving target detection for a forward scatter radar in complex Gaussian noise. The echoes received by the forward scatter radar include not only the noise and the possible target signals but also the direct signals. To suppress the direct signals and detect the target signals, Rao and Wald tests are derived in two cases: the secondary data which contain no target signal are available or not available. Different from monostatic radar, it is proved that the derived Rao and Wald detectors for the forward scatter radar have the same test statistics as the generalized likelihood ratio test-based detector in the complex Gaussian noise both when the secondary data are available or not available. The numerical evaluation further demonstrates the equivalence and the effectiveness of the proposed detectors.
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收藏
页数：17
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