| 摘要: |
| 为了克服循环平均幅度差函数法（CAMDF）估计弹道中段目标进动雷达散射截面（RCS）序列周期产生加倍误判的问题，引入了平均幅度差函数的凸包函数的概念，提出了凸包循环平均幅度差函数法（CHF-CAMDF）处理弹道进动目标的RCS序列，将处理后序列的最小谷值点所在位置与采样频率的商值作为所估计弹道目标的进动周期。相较于CAMDF，CHF-CAMDF在抑制加倍误判、抗噪性能以及序列长度敏感性三个方面都具有明显的优越性，能够有效地提取弹道中段目标的进动周期，提供了一种有助于真假弹头识别的可靠依据。 |
| 关键词: 弹道导弹 目标识别 进动周期 凸包函数 循环平均幅度差函数 |
| DOI： |
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| 基金项目:总装备部预研基金项目 |
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| Precession period estimation of ballistic target in midcourse |
| ZHANG Yiying,GAO Jianjun,LI Gaopeng,GUO Rujiang,JIANG Kun |
| () |
| Abstract: |
| To solve the problem that double misjudgment is caused when the circular average magnitude difference function(CAMDF) is used to estimate the precession cycle of the radar cross section(RCS) sequence of the ballistic midcourse target,this paper introduces the concept of the convex hull function of average amplitude difference function and proposes the convex hull circular average magnitude difference function(CHF-CAMDF) to process the RCS sequence of the ballistic midcourse target,and the business value of the lowest valley location and the sampling frequency are estimated as the precession period of ballistic target.The simulation results show that CHF-CAMDF has obvious advantages in suppressing double misjudgment,anti-noise performance and sensitivity to the sequence length over the CAMDF. And CHF-CAMDF can effectively extract the precession cycle of the ballistic midcourse target,which provides a reliable basis for the identification of true and false warhead. |
| Key words: ballistic missile target recognition precession period convex hull function circular average magnitude difference function |
《电讯技术》编辑部 