A new fuzzy CFAR processor for radar MTD systems

H. El-Henawy, E. Abdoul-Fattah, M. Gamal, M. Attala, A. Hafez
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引用次数: 4

Abstract

This paper proposes a new fuzzy constant false alarm processor (FCFAR) for radar MTD systems. The proposed amplitude processor decides the fixed threshold value for the CFAR using fuzzy logic controller according three input variables. First input is the fast threshold from fifty serially averaged range cells. The second is the slow threshold from concatenated 500 averaged range cells. The third input is the signal to noise ratio at the RF stage of the radar system. The proposed processor is simulated under Matlab program environment on 1 million range cells data in additive white Gaussian noise (AWGN) with non-homogeneous background clutter and from 5 to 30 dB signal to noise ratio (S/N). The results show the superiority of the proposed FCFAR than the traditional systems used during the last decade.
雷达MTD系统中一种新型模糊CFAR处理器
提出了一种新的用于雷达MTD系统的模糊恒值虚警处理器(FCFAR)。该幅值处理器利用模糊控制器根据三个输入变量确定CFAR的固定阈值。第一个输入是50个连续平均距离单元的快速阈值。第二种是从连接的500个平均范围单元中获得的慢阈值。第三个输入是雷达系统射频级的信噪比。在Matlab编程环境下,对100万个距离单元数据在非均匀背景杂波加性高斯白噪声(AWGN)和5 ~ 30 dB信噪比(S/N)条件下进行了仿真。结果表明,所提出的FCFAR比过去十年中使用的传统系统具有优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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