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出 处:《中国电子科学研究院学报》2015年第4期389-394,共6页Journal of China Academy of Electronics and Information Technology
基 金:教育部高等学校博士学科点专项科研基金(20123401120008)
摘 要:主瓣干扰是影响雷达探测性能的重要问题之一,而现有的雷达装备还没有十分有效的方法对付主瓣干扰。分布式雷达是一种新体制雷达,利用其空间配置灵活及可进行信号级融合的特点,提出利用LMS算法在分布式雷达信号级进行自适应对消处理抑制主瓣干扰的方法。分布式雷达采用T/R-R型,两接收站空间拉开足够大后,两接收站接收目标回波去相关,而接收的主瓣密集假目标是一种相参压制干扰,被认为具有一定的相关性,与噪声压制干扰相似,由于数量多可认为幅度远远大于目标回波信号幅度。文章利用此特性,采取LMS算法,对两接收站回波信号进行信号级融合处理,剔除主瓣干扰,保留目标回波,文中给出了具体的处理分析,并通过仿真和试验验证了该方法是有效的。Main lobe jamming is one of the crucial obstacles for radar detecting performance, which is still impossible for modern radar to overcome. Distributed radar is a new radar system, which puts forward the anti-mainlobe jamming method of distributed radar space configuration and signal level fusion. Distributed radar based on LMS algorithm by using flexible uses T/R-R, if the distance between two receivers is large enough, target echo is un-correlated, while dense false target signal is correlated. Dense false target is similar to noise jamming, whose amplitude is much more than the target echo signal. According to this characteristic, two receivers process echo signal on the signal level based on LMS algorithm, which can eliminate the main-lobe jamming. The detailed processing and analysis is presented, simulation and test demonstrate the effectiveness of the method.
分 类 号:TN974[电子电信—信号与信息处理]
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