基于时频图的微动目标运动参数提取和特征识别的方法

王璐; 刘宏伟

doi:10.3724/SP.J.1146.2009.01127

基于时频图的微动目标运动参数提取和特征识别的方法

doi: 10.3724/SP.J.1146.2009.01127

王璐,
刘宏伟

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出版历程
- 收稿日期: 2009-08-25
- 修回日期: 2010-01-13
- 刊出日期: 2010-08-19

Method for Micro-motion Target Recognition and Motion Parameter Extraction Based on Time-frequency Analysis

摘要

摘要: 空间运动特征是导弹目标识别所依据的主要目标特性之一。该文通过在散射中心模型下，研究了导弹微动时回波的时频变化的特性，并由此提出了一种用于估计多散射点瞬时多普勒的线性和的新方法。对该线性和做傅里叶变化，能够有效地估计目标自旋、锥旋、进动频率，周期等运动参数。在此基础上，提出多普勒线性和的傅里叶谱的波形熵特征可以很好地用于实际中弹头和诱饵的识别。结果表明该方法可有效地区分弹头和诱饵。
- 目标识别 /
- 微动 /
- 时频变换 /
- 微多普勒 /
- 波形熵
Abstract: Spatial motion feature is one of main target features for missile target identification. This paper investigates micro-motion of the missile target. Time-frequency analysis is used to extract micro-Doppler signature, based on which an approach is proposed for estimating the linear sum of the micro-Dopplers of scatters. Motion parameters can be extracted by applying Fourier Transform to the sum. Then waveform entropy is presented for the missile identification. The simulation results and the recognition results validate the effectiveness of theoretical analysis.
- Target recognition /
- Micro-motion /
- Time-frequency transformation /
- Micro-Doppler /
- Waveform entropy

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参考文献(1)

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