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多宽带雷达协同目标微动周期估计方法

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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.
Collaborative estimation method of target micro-motion period via multiple wideband radars
Micro-motion period is a significant feature to distinguish warheads from shape-decoys.At pres-ent,the main estimation methods of radar target micro-motion period have some shortcomings,such as large con-sumption 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)algo-rithm 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 pro-posed 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.

collaborative estimation of micro-motion periodmultiple wideband radar setsnonsynchronous observationregular dimension measurement errorregular time resource consumption

张福涛、郭国强、秦晓东、王俊杰

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南京电子技术研究所,南京 210039

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

2024

空天预警研究学报
空军预警学院

空天预警研究学报

影响因子:0.39
ISSN:2097-180X
年,卷(期):2024.38(3)
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