抑制维格纳分布交叉干扰项的联合算法  

Amelioration Algorithm to Suppress the Cross-Term Interference of WVD

作　　者：高宪军[1] 陈超[1] 张杰[1] 张卓[1] 

机构地区：[1]空军航空大学航空电子工程系,长春130022

出　　处：《吉林大学学报（信息科学版）》2009年第2期127-132,共6页Journal of Jilin University（Information Science Edition）

摘　　要：维格纳分布(WVD:Wigner-Ville Distribution)交叉干扰项的存在,严重地影响了其处理效果。为此,笔者结合交叉干扰项的性质,提出改进算法——基于STFT(Short-Time Fpiroer Tramsfpr)与WVD的联合算法(STFT-WVD)。该联合算法将信号的谱图与维格纳分布作互相关处理,以期达到抑制交叉干扰项的效果。通过理论分析与仿真实验证明,STFT-WVD算法在有效抑制WVD交叉干扰项带来不良影响的同时,保持了WVD较高的时频分辨率,是一种行之有效的WVD改进算法。The WVD （Wigner-Ville Distribution） is an important method of time-frequency analysis, but the cross-term interference in WVD has a bad influence. Aiming at the characters of cross-term interference. An a- WVD） was proposed to solving the problem. Between the Spectrogram and WVD of signals, united algorithm makes a cross correlation to achieve an ideal effect. By analyzing and simulating, it is proved that STFT-WVD suppresses the cross-term interference in WVD effectively, and keeps the excellent time-frequency resolution as WVD. So STFT-WVD is an effective amelioration algorithm of WVD.

关 键 词：维格纳分布 交叉干扰项 谱图 联合算法 

分 类 号：TN911[电子电信—通信与信息系统]