航空学报 > 2009, Vol. 30 Issue (2): 305-310

基于S变换的时频特征提取与目标识别

王殿伟,李言俊,张科   

  1. 西北工业大学 航天学院
  • 收稿日期:2007-11-21 修回日期:2008-04-15 出版日期:2009-02-15 发布日期:2009-02-15
  • 通讯作者: 王殿伟

Time-frequency Signature Extraction and Recognition of Target Based on S-transform

Wang Dianwei, Li Yanjun, Zhang Ke   

  1. School of Astronautics, Northwestern Polytechnicial University
  • Received:2007-11-21 Revised:2008-04-15 Online:2009-02-15 Published:2009-02-15
  • Contact: Wang Dianwei

摘要: 目标的时间-频率联合分布能够很好地反映目标物理结构特征,可以作为雷达目标识别的一个有效手段。针对现有时频分析方法存在的识别率低和抗噪性能差等问题,提出一种基于S变换的空间目标回波信号电磁特征提取与识别方法。首先对目标的雷达回波进行时频分析,得出在较大方位角变化范围内和不同信噪比情况下,目标S变换的时频分布具有相对不变性的结论;然后基于这种稳定的时频分布特征,采用最小贴近度的方法进行分类识别。针对不同目标模型的仿真结果表明,该方法的识别率高于其他时频分析方法并且具有很好的鲁棒性。

关键词: 信息处理, 特征提取, S变换, 目标识别, 时频分析

Abstract: The time-frequency joint distribution of a target reflects well its physical structural property so it can be used as an effective means of radar target recognition. Aiming at the problems of low identification rate and poor antinoise performance in existing time-frequency analysis methods, a method of radar target electromagnetic features extraction and recognition based on S-transform is proposed. The time-frequency distribution of a target is first analyzed by the S-transform and the stability of time-frequency distribution within a large angle range and signal-noise ratio is derived. Based on these stable signatures, a recognition algorithm is proposed. Finally, the identification of different target models are performed and the results demonstrate that the method provided in this article has higher recognition performance and better robustness than other time-frequency-analysis methods.

Key words: information processing, feature extraction, S-transform, target recognition, time-frequency analysis

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