基于高斯和功率谱特性的小波调制识别研究  

Study on Identification of Wavelet Modulation with Character of Gaussian and Power Spectrum

作　　者：李丽月[1] 唐向宏[1] 赵玲[1] 申传朋[1] 

机构地区：[1]杭州电子科技大学通信工程学院,浙江杭州310018

出　　处：《杭州电子科技大学学报（自然科学版）》2008年第5期80-83,共4页Journal of Hangzhou Dianzi University：Natural Sciences

基　　金：浙江省自然科学基金资助项目(Y1080238)

摘　　要：小波调制是一种全新的多载波通信调制方式,该文基于OFDM和小波调制信号的渐近高斯分布和频谱特性,探讨了加性高斯白噪声信道条件下小波调制信号的识别。利用调制信号的高阶统计量和功率谱峰度为分类特征,采用信噪比与特征参数联合估计的方法,分别实现多载波与单载波调制信号、OFDM与小波调制信号的识别。仿真实验结果表明,该方法具有良好的识别性能,且能很好的抑制高斯噪声的干扰。Wavelet modulation is a new type of multi - carrier modulation, this paper based on the asymptotically Gaussian distribution and frequency spectrum＇ s feature of OFDM and wavelet modulated signal, studies the recognition of wavelet modulated signal in the additive white Gaussian noise（AWGN） channel. Using higher order moments and kurtosis of power spectrum to identify single - cartier and multi - carrier modulated signals; OFDM and Wavelet Modulated signal. Simulation results show that good performance is obtained and Gaussian noise interference is eliminated.

关 键 词：调制识别 小波调制 高阶距 

分 类 号：TN911.4[电子电信—通信与信息系统]