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作 者:张福涛 郭国强[1] 秦晓东[1] 王俊杰 ZHANG Futao;GUO Guoqiang;QIN Xiaodong;WANG Junjie(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China)
出 处:《空天预警研究学报》2024年第3期157-161,共5页JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH
摘 要:微动周期是区分弹头和仿形诱饵的重要特征.针对当前主要的雷达微动周期估计方法存在时间资源消耗大、对单雷达测量精度要求高、需要多宽带雷达同步观测等缺点,提出一种多宽带雷达协同目标微动周期估计方法.首先利用最小均方(LMS)算法进行目标真实尺寸估计;然后利用变尺度差频处理通过尺寸序列提取目标微动周期;最后通过仿真验证了本文方法的有效性,并探索了应用边界条件.该方法无需多宽带雷达同步观测,且在单雷达常规尺寸测量精度和时间资源消耗条件下即可准确估计目标微动周期.Micro-motion period is a significant feature to distinguish warheads from shape-decoys.At present,the main estimation methods of radar target micro-motion period have some shortcomings,such as large consumption of time resources,high requirement of single radar measurement accuracy and demand of multi-radar synchronous observation.In order to address the above problems,this paper proposes a collaborative estimation method of target micro-motion period via multiple wideband radar sets.First,the least mean square(LMS)algorithm is applied to estimate the actual size of the target,and then a mutative scale frequency mixing algorithm is employed to extract the target micro-motion period from the size sequence.Finally,the effectiveness of the proposed method is verified by simulation,and the application boundary conditions are also explored.This method does not require multiple radar sets to observe simultaneously,but can accurately estimate the target micro-motion period under the conditions of conventional dimension measurement accuracy and time resource consumption of single radar.
关 键 词:微动周期协同估计 多宽带雷达 非同步观测 常规尺寸测量误差 常规时间资源消耗
分 类 号:TN957[电子电信—信号与信息处理]
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