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The method of micro-motion cycle feature extraction based on confidence coefficient evaluation criteria

机译:基于置信度评价准则的微动循环特征提取方法

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In radar target recognition, the micro motion characteristics of target is one of the characteristics that researchers pay attention to at home and abroad, in which the characteristics of target precession cycle is one of the important characteristics of target movement characteristics. Periodic feature extraction methods have been studied for years, the complex shape of the target and the scattering center stack lead to random fluctuations of the RCS. These random fluctuations also exist certain periodicity, which has a great influence on the target recognition result. In order to solve the problem, this paper proposes a extraction method of micro-motion cycle feature based on confidence coefficient evaluation criteria.
机译:在雷达目标识别中,目标的微动特征是国内外研究者关注的特征之一,其中目标进动周期的特征是目标运动特征的重要特征之一。已经研究了周期性特征提取方法多年,目标的复杂形状和散射中心堆栈导致RCS的随机波动。这些随机波动也存在一定的周期性,这对目标识别结果有很大的影响。为了解决该问题,本文提出了一种基于置信度评价准则的微运动循环特征提取方法。

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