Two Scale Invariant Functions based CFAR Detection in Heterogeneous Weibull Clutter

被引:0
|
作者
Zebiri, Khaled [1 ]
Mezache, Amar [2 ]
机构
[1] Univ Alger 1 Benyoucef Benkheda, Dept Sci Matiere SM, Alger Ctr 16000, Algeria
[2] Univ Mohamed Boudiaf Msila, Dept Elect, Lab SISCOM, Msila 28000, Algeria
关键词
CFAR; Weibull model; Interfering targets;
D O I
10.1109/ICEEAC61226.2024.10576399
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this communication, we considered the constant false alarm rate (CFAR) detector in presence of Swerling 1 interfering targets surrounded in Weibull background. The proposed CFAR detector is inspired from a general test statistic that is given as a function of two selected scale invariant functions. It is based on the well known Weber-Haykin Order Statistics CFAR (WHOS-CFAR) detector and is given in terms of three ranked cells. Even in the face of several interfering targets, the investigation of the false alarm regulation demonstrate the robustness with respect to clutter parameters. Moreover, the performance of the above CFAR detector was checked for both homogeneous and heterogeneous environments and achieves the CFAR-ness property with immunity to circumstances involving interfering targets.
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页数:4
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