基于维格纳分布特征的雷达信号分选  

Sorting radar signal based on Wigner-Ville distribution features

作　　者：梁华东[1,2] 韩江洪[1] 

机构地区：[1]合肥工业大学计算机与信息学院 合肥230009 [2]中国电l子科技集团第38研究所,合肥230088

出　　处：《电子测量与仪器学报》2014年第2期218-225,共8页Journal of Electronic Measurement and Instrumentation

基　　金：国家科技支撑计划重点项目(2011BAH24B05)

摘　　要：针对常规分选参数分选准确率不高和对噪声敏感的问题,应用维格纳分布脉内特征实现了低信噪比条件下未知复杂雷达信号的高准确率分选。对接收到的雷达信号首先求维格纳分布,然后求简化后二维维格纳分布的规范相关系数特征向量,该特征向量反映了信号在时间频率轴上的不同能量分布规律。通过对8种调制方式雷达信号的特征提取和分类仿真实验,结果表明:提取的维格纳分布特征参数在宽信噪比范围内均具有很好的分离性和稳定性,验证了本文方法的有效性。Common features have low sorting rates, furthermore, they are sensitive to the signal noise ratio （SNR）, Wigner-Ville distribution features are applied to sort unknown complicated radar signal, high sorting rate can be got. Wigner-Ville distribution of received signal are extracted, then they are predigested to two dimensional Wigner Ville distribution. The normative correlation coefficients vector extracted from two dimensional Wigner-Ville distri bution can reflect signal energy distribution. Experiment results demonstrated that the features of eight typical radar emitter signals extracted by this method showed good performance of noise-resistance and clustering at large-scale signal-noise ratio （SNR）.

关 键 词：分选 维格纳分布 规范相关系数 核模糊C均值聚类 

分 类 号：TN971[电子电信—信号与信息处理]