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利用瞬时频率提取雷达辐射源特征的新算法 被引量:1

A new algorithm of radar emitters' feature extraction using instantaneous frequency
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摘要 介绍了一种新的雷达辐射源特征提取算法,该算法首先通过伪维纳分布寻找一个随时间变化的最佳窗,基于该窗精确估计信号的瞬时频率,从瞬时频率估计中,可以识别出相位编码信号,然后对于不同的编码类型,利用所估计的瞬时频率,提取瞬时频率的自相关的主瓣峰值和最大旁瓣值的比值作为识别特征。仿真实验证明该算法提取的特征值可有效识别不同体制的雷达信号。 A new algorithm for extracting radar emitters' feature is introduced. This algorithm firstly estimates signal's instantaneou frequency using pseudo-Wigner distribution (PWD) with varying and data-driven window length, then calculates the feature based on the instantaneous frequency. The feature is described as the ratio of auto-correlation between maximal masterlobe and maximal sidelobe. Simulation shows the algorithm proposed can identify different radar emitters.
出处 《航天电子对抗》 2008年第5期36-39,共4页 Aerospace Electronic Warfare
关键词 辐射源 特征 瞬时频率 自相关 radar emitter feature instantan.eous frequency auto-correlation
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参考文献4

  • 1Katkovnik V and Stankovic L. Instantaneous frequency estimation using the Wigner distribution with varying and data Σdriven window length[J]. IEEE Trans. Signal Processing, 1998, 46(9).
  • 2Jarmo Lunden, Visa Koivunen. Automatic radar waveform recognition[J]. IEEE Journal of Selected Topics in Signal Processing, 2007,1 ( 1 ).
  • 3Djurovic I and Stankovic L. Detection of polyphase pulse compression waveforms using the Radon Σ Ambiguity Transfom[J].IEEE Trans. on Aerospace and Electronic Systems, 2003,39 ( 1 ).
  • 4Djurovic I and StankovicL. Robust Wigner distribution with application to the instantaneous frequency estimation [J].IEEE Trans. Signal Processing,2001,49 (12) :2985 - 2993.

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