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中文摘要：
进动角是识别弹道导弹中段弹头与诱饵的主要特征量，对其快速、准确的估计是导弹防御系统的关键技术之一。传统的最小二乘方法通过遍历平均视界角、进动角和初始时刻三个参数实现对进动角的估计，存在运行时间长、抗噪性能差等缺点。首先分析了进动角估计算法，根据目标RCS数据的周期性，缩减了遍历参数，极大地缩短了算法的运行时间；进而结合相关系数法，在低信噪比条件下获得了更好的估计性能；最后利用暗室测量数据验证了算法的有效性，并分析了模板参数对算法性能的影响。
英文摘要：
The precession angular is the major characteristic to distinguish warhead from baits in middle section of ballistic missile, and its quick and accurate estimation is one of the critical technologies of the missile defense system. The least square method, which estimates the precession angular by searching the average angle of visibility, precession angular, and beginning moment, takes a long time to operate and has a bad estimation capability in low SNR. Firstly, this paper analyses the precession angular estimation algorithms and reduces the estimation parameters and the operating time according to the periodicity of target＇s RCS data. And then, with the correlation coefficient law, it gains a better capability in low SNR. Finally, the simulation experiments is used to illustrate the effectiveness of the proposed algorithm and the influence of the template parameters on the algorithm＇s capability is analyzed.
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