一种基于小波脊线拟合的MFSK信号识别方法  

Identification of MFSK Signals Based on Approximate Wavelet Ridge

作　　者：何成伟[1] 韩振铎[2] 陈琳[1] 张培珍[1] 

机构地区：[1]空军雷达学院研究生管理大队,武汉430019 [2]空军雷达学院电子对抗系,武汉430019

出　　处：《空军雷达学院学报》2007年第1期62-64,共3页Journal of Air Force Radar Academy

摘　　要：通过MFSK信号的正弦类Haar小波脊线表达式的推导,选取其作为MFSK信号识别的特征参量,进而对MFSK信号进行了识别.针对高斯白噪声对MFSK信号的特征参量的影响,提出利用最小二乘法对正弦类Haar小波脊线进行拟合的方法.最后对2-FSK信号进行仿真,结果表明此方法具有较好的抗噪声性能。After deducing the expression ofsinusoidal Quasi-Haar wavelet transform ridge of MFSK signal, the expression was selected as the characteristic parameter of MFSK signal identification, and thus the identification was carried out. Aimed at the influence of the white Gaussian noise on MFSK signal characteristic parameter, it was proposed that the least square method can be used to approximate the sinusoidal Quasi-Hast wavelet ridge. Finally, the simulation to 2-FSK signal was done, and its results show that the approach proposed has better noise immunity.

关 键 词：频移键控 小波变换 小波脊线 最小二乘法 

分 类 号：TN911.72[电子电信—通信与信息系统]