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作 者:李宝鹏 李淑华 夏栋 Li Baopeng;Li Shuhua;Xia Dong(Department of Avionics Engineering&Command,Qingdao Branch,Navy Aviation University,Qingdao 266041,China)
机构地区:[1]海军航空大学青岛校区航空电子工程与指挥系,山东青岛266041
出 处:《兵工自动化》2020年第8期49-53,共5页Ordnance Industry Automation
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。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%.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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