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有源干扰背景下基于CFAR的信号检测方法改进
引用本文:齐晓辉,卢丹,金涛.有源干扰背景下基于CFAR的信号检测方法改进[J].科学技术与工程,2012,12(18):4413-4417.
作者姓名:齐晓辉  卢丹  金涛
作者单位:哈尔滨工业大学(威海)电子信息工程系,威海,264209
基金项目:哈尔滨工业大学校科学研究基金资助,项目号:HIT(WH)XBQD201021
摘    要:针对瑞利噪声分布的回波信号,单元平均CFAR算法是一种简单有效的信号检测方法。当回波背景中加入有源噪声干扰时,该检测方法受到限制。首次以噪声调幅干扰为信号杂波背景,建立数学模型。基于CFAR算法,分析该有源噪声干扰对信号检测概率的影响。对CFAR算法进行改进,使得信号检测方法适用于信号杂波背景的变化。最后通过仿真验证了此改进的CFAR算法提高了噪声干扰背景下信号的检测概率,并达到抗干扰的目的。

关 键 词:噪声调幅干扰  CFAR算法  抗干扰  杂波背景
收稿时间:3/22/2012 3:26:59 PM
修稿时间:3/29/2012 3:20:39 PM

Improved signal detection method based on CFAR at active jamming background
QI Xiaohui,LU Dan and JIN Tao.Improved signal detection method based on CFAR at active jamming background[J].Science Technology and Engineering,2012,12(18):4413-4417.
Authors:QI Xiaohui  LU Dan and JIN Tao
Affiliation:Electronics and Information Engineering, Harbin Institute of Technology(Weihai),
Abstract:Active noise jamming is an important part of radar jamming, jamming and target echo superimposed, which reduces the signal detection probability. In this paper, for the first time, the noise amplitude modulation jamming signal is studied as the clutter background, and the mathematical model is established. Based on the CFAR algorithm, the effect in signal detection probability is analyzed. The CFAR algorithm is improved to make signal detection method applied to the clutter background changing. Finally, simulation results show that the improved CFAR algorithm improves the signal detection probability and anti-interference.
Keywords:AM jamming  CFAR algorithm  Anti-interference  clutter background
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