基于IF 特性的雷达辐射信号脉内调制特性识别
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Intra-pulse Modulation Characteristics Recognition of Radar Radiation Signals Based on IF Characteristics
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    摘要:

    为解决雷达侦察中雷达脉内调制类型识别问题,研究NS、LFM、PSK、FSK 4 种类型调制信号的高效识 别问题。通过改进瞬时自相关算法在抑制相位模糊和噪声干扰的前提下得到雷达辐射信号自相关函数,进行滑动平 均采样处理得到信号的瞬时频率。分析4 种不同调制类型信号频率图特征,提取频率图的自相关系数、突跳峰次数 和二级均值差特性作为识别特征向量,构建一种高效的脉内调制识别算法。仿真实验表明:该算法可在信噪比较低 的条件下,有效地区分4 种调制类型,当信噪比高于9 dB 时,识别概率可达到97%以上。

    Abstract:

    In order to solve the problem of intra pulse modulation type recognition in radar reconnaissance, the efficient recognition of NS, LFM, PSK and FSK modulation signals is studied. By improving the instantaneous autocorrelation algorithm, the autocorrelation function of radar radiated signal is obtained on the premise of suppressing phase ambiguity and noise interference, and the instantaneous frequency of signal is obtained by moving average sampling. Four different modulation types of signal frequency graph characteristics are analyzed. The self-correlation coefficient, the number of peak jumps and the second-order mean difference characteristics of frequency graph are extracted as recognition feature vectors, and an efficient intra-pulse modulation recognition algorithm is constructed. The simulation results show that the algorithm can distinguish 4 modulation types effectively under the condition of low signal-to-noise ratio. When the signal-to-noise ratio is higher than 9 dB, the recognition probability can reach more than 97%.

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引用本文

李宝鹏.基于IF 特性的雷达辐射信号脉内调制特性识别[J].,2020,39(08).

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  • 收稿日期:2020-04-14
  • 最后修改日期:2020-05-17
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  • 在线发布日期: 2020-08-18
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