摘要
针对多径环境下MPSK和MQAM信号的调制识别问题,该文提出了一种基于信道盲辨识和盲均衡的调制识别算法。算法首先进行信道阶数精确估计,然后以矩阵外积分解为基础,加入特征值扰动分析,提高了信道盲辨识和盲均衡的稳定性,最后,对均衡后的星座图进行多级减法聚类,得到信号的调制方式。与现有算法相比,算法结构简单,所需数据量小,适用范围广,实用性强。仿真结果证明了算法的有效性。
A modulation identification algorithm based on blind channel identification and equalization is proposed for MPSK and MQAM signals in multi-path environments. The channel order is estimated accurately first. Then, the eigenvalue perturbation analysis is done on the basis of matrix outer-product decomposition to get the more stable performance of channel blind identification and equalization. Finally, the multistage blind subtractive clustering method is used for the equalized constellation to determine the modulation type. Compared with the existing methods, it is a simple solution with smaller number of symbols for more modulation types and is more suitable for the practical application. Simulation results prove the effectiveness of the algorithm.
出处
《电子与信息学报》
EI
CSCD
北大核心
2008年第8期1810-1814,共5页
Journal of Electronics & Information Technology
基金
国家部级基金资助项目
关键词
无线通信
调制识别
信道盲辨识与盲均衡
阶数估计
扰动
减法聚类
Wireless communication
Modulation identification
Blind channel identification and equalization
Order estimation
Perturbation
Subtractive clustering