基于时频脊线的LPI雷达多相码信号调制类型识别及参数估计方法  

Modulation Recognition and Parameter Estimation of LPI Radar Polyphase Code Based on Time-Frequency Ridge

作　　者：杨锦程 陈世文 陈蒙 韩啸 YANG Jin-cheng;CHEN Shi-wen;CHEN Meng;HAN Xiao(PLA Strategic Support Force Information Engineering University,Zhengzhou 450001,China)

机构地区：[1]中国人民解放军战略支援部队信息工程大学,河南郑州450001

出　　处：《指挥控制与仿真》2022年第6期102-109,共8页Command Control & Simulation

摘　　要：针对低截获概率(Low Probability of Intercept,LPI)雷达多相码信号易混淆,且现有文献鲜有将调制类型识别和参数估计相结合的情况,提出了一种基于时频脊线的特征提取方法。在所提特征的基础上,通过支持向量机分类器进行调制类型识别;同时,可实现对调制参数的估计,由提取的特征对带宽、编码长度、载频和码元内载频周期数进行估计。仿真结果证明,在较低信噪比(Signal-to-Noise Ratio,SNR)下,该方法对调制类型的平均识别率较为理想,对各调制参数的估计误差均在可接受范围内。对比实验显示,该方法优于传统的互相关法。与深度学习方法对比,该方法的运算量更小,且在小样本情况下具有更好的识别率,具有一定的应用价值。In order to solve that low probability of intercept radar polyphase code signals are easy to confuse and the existed literatures rarely combine modulation type recognition and modulation parameter estimation,a feature extraction method based on time-frequency ridges is proposed.On the basis of the proposed features,the modulation type identification is performed by the support vector machine classifier.At the same time,the modulation parameter including bandwidth,code length,carrier frequency and cycles per phase code can be estimated from the extracted features.The simulation results prove that the average recognition ratio of this method for modulation types is ideal under low SNR,and the estimation errors of each modulation parameter are also within acceptable ranges.Comparative experiments show that this method is better than the traditional cross-correlation method.Compared with the deep learning method,this method has smaller calculation and better recognition ratio in the case of small samples.This method has certain application value.

关 键 词：LPI雷达 多相编码 时频脊线 调制类型识别 参数估计 

分 类 号：TN957.51[电子电信—信号与信息处理]