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利用累积量和似然特征的卫星单-混信号调制识别算
廖灿辉,万坚,周世东
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(清华大学微波与数字通信国家重点实验室，北京100084; 信号盲处理国防科技重点实验室,成都 610041)

摘要:

针对卫星通信中常用调制信号和PCMA类混叠信号的调制识别问题，提出了一种利用高阶累积量和似然特征的识别算法。算法先对接收数据进行预处理，在此基础上提取4个高阶累积量特征和1个似然特征，构造一个树形分类器进行调制识别。算法不需要知晓信号的定时等先验信息，对收发载频存在的频差不敏感。仿真结果表明，算法在正常通信所需的载噪比下具有较高的正确识别率。

关键词: 卫星通信调制识别累积量似然准则成对载波多址

DOI：

基金项目:国防科技重点实验室基金资助项目

Modulation Classification Algorithm for Satellite Single Mixed Signals Using Cumulants and Likehood Features

LIAO Can-hui,WAN Jian,ZHOU Shi-dong

(State Key Lab on Microwave & Digital Communications, Tsinghua University, Bei jing 100084, China;National Defense Key Lab on Blind Signals Processing, Chengdu 610041, China)

Abstract:

An algorithm using highorder cumulants and likehood features is propo sed for modulation classification of conventional single signals and new mixed s ignals called paired carrier multiple access(PCMA) signals in satellite communi cations. After preprocessing, four cumulant features and one likehood feature are extracted from the received data to achieve a treebased classification app ro ach. This method does not need any prior knowledge about the timings, and is non  sensitive for the frequency shift. Simulation results show that this algorithm c an achieve high correct classification probability under communication carrier tonoise ratio (C/N) range.

Key words: satellite communication modulation classification cumulants likehood criterion paired carrier multipl e access(PCMA)