瑞利衰落信道下MQAM信号的盲识别方法  

Algorithm for blind identification of MQAM signals in Rayleigh fading channels

作　　者：李艳玲[1,2] 李兵兵[1] 刘明骞[1] 

机构地区：[1]西安电子科技大学ISN国家重点实验室,陕西西安710071 [2]河南农业大学信息与管理科学学院,河南郑州450002

出　　处：《华中科技大学学报（自然科学版）》2012年第4期76-79,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家高技术研究发展计划资助项目(2007AA01Z288);国家自然科学基金资助项目(60772138);高等学校学科创新引智计划资助项目(B08038)

摘　　要：针对MQAM信号识别难的问题,提出一种瑞利衰落信道条件下MQAM调制信号盲识别算法.该方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2阶、4阶和6阶累积量中提取的特征参数实现MQAM调制信号的识别.仿真结果表明:在信噪比为5dB下平均识别率能达到90%以上,与其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.An algorithm for blind identifying MQAM（M-ary quadrture amplitude modulation） signals in Rayleigh fading channels was presented to classify MQAM signals easily.The 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 signals.Simulation results show that the classification rate reaches over 90% when SNR（signal-to-noise ratio） is 0 dB,and the algorithm has higher classification rate and better anti-noise ability than other methods.The robustness of the classifier to phase jitter and frequency offset is clearly apparent.

关 键 词：调制识别 高阶累积量 特征提取 瑞利衰落信道 MQAM信号 

分 类 号：TN911.7[电子电信—通信与信息系统]