瑞利衰落信道下MQAM信号的盲识别方法.pdf

文档介绍：第卷第期华中科技大学学报自然科学版
40 4 ( )
年月
2012 4 Sci.& Tech.(Natural Science Edition) Apr. 2012
瑞利衰落信道下信号的盲识别方法
MQAM
李艳玲, 李兵兵刘明骞
12 1 1
西安电子科技大学国家重点实验室陕西西安
(1 ISN , 710071;
河南农业大学信息与管理科学学院河南郑州
2 , 450002)
摘要针对信号识别难的问题提出一种瑞利衰落信道条件下调制信号盲识别算法该方
MQAM , MQAM .
法在不需要任何先验信息的情况下利用瑞利衰落信道的特点从信号的阶阶和阶累积量中提取的特
, , 2 、4 6
征参数实现调制信号的识别仿真结果表明在信噪比为下平均识别率能达到以上与其
MQAM . : 5dB 90% ,
他算法相比有更高的识别率和更强的抗噪声干扰能力而且对相位抖动和频率偏差有很强的健壮性
, .
关键词调制识别高阶累积量特征提取瑞利衰落信道信号
; ; ; ;MQAM
中图分类号文献标志码文章编号
A 1671-4512(2012)04-0076-04
Algorithm for blind identification of MQAM signals
in Rayleigh fading channels
,
Li Yanling12 Li Bingbing1 Liu Mingqian1
(1The State Key Laboratory of Integrated works,Xidian University,Xi′an 710071,
China;2School of Information and Management Science,Henan Agricultural University,Zhengzhou 450002,China)
Abstract An algorithm for blind identifying MQAM (M-ary quadrture amplitude modulation)signals
in Rayleigh fading channels was presented to classify MQAM signals method could classify
MQAM signals using the feature parameter which were extracted from two-order,four-order and six-
order cumulants without the prior information about received results show that the
classification rate reaches over 90% when SNR (signal-to-noise ratio)is 0dB,and the algorithm has
higher classif