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A precession period extraction method of ballistic target based on DAMDF

机译:基于DAMDF的弹道目标进动周期提取方法

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摘要

The current precession period extraction methods are analyzed in this paper. Considering their low accuracy and stability in low SNR environment, a new method is proposed based on the double average magnitude difference function (DAMDF). Utilizing the current methods' same period characteristic with the original data and the average argument's decay characteristic with the increase of step, the result of DAMDF has just only one peak, so that it can overcome the unfavourable influence of the frequency demultiplication as well as restrain the interference brought about by frequency multiplication and noise. Simulation results present that the new method can enhance the accuracy and stability of precession period estimation greatly in low SNR environment.
机译:本文分析了当前进动时期的提取方法。考虑到它们在低信噪比环境下的低精度和稳定性,提出了一种基于双平均幅度差函数(DAMDF)的新方法。利用当前方法与原始数据的相同周期特性和随着步长增加的平均自变量的衰减特性,DAMDF的结果只有一个峰值,因此可以克服分频的不利影响并抑制倍频和噪声带来的干扰。仿真结果表明,该方法可以在低信噪比环境下大大提高进动周期估计的准确性和稳定性。

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