盲信道辨识与均衡基于二阶统计量的递推算法  

A recursive algorithm for blind identificaiton and equalization based on second-order statistics

作　　者：万喆[1] 冯大政[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《西安电子科技大学学报》2003年第3期374-377,共4页Journal of Xidian University

基　　金：国家自然科学基金资助项目(69972037)

摘　　要：利用通信信号超采样后所具有的循环平稳性,给出了一种新的基于二阶统计量的算法来完成对非最小相位系统的辨识和估计,利用了一组特征矩阵所包含的信息来进行估计,使估计性能得到了提高.与基于二阶统计量的非递推盲均衡算法相比,这种方法给出求解所定义的代价函数的最优解的有效递推算法,可以逐个地得到所有特征矢量,最终得到解析解.该算法在低信噪比的环境下仍然可以有效地完成估计,克服了传统的盲均衡算法抗噪性能差的缺点,而且其运算复杂度仍然比较小.A new recursive algorithm for blind identificaiton and equalization is proposed, which exploits the cyclostationarity of oversampled communication signals to achieve identification and equalization of possibly nonminimum phase channels. Compared with other blind equalization algorithms which only exploit one or two eigenmatrices, this algorithm utilizes a set of eigenmatrices for estimation so that the performance is improved. By solving the cost function to obtain th best solution, the recursive algorithm is given which can obtain all the eigenvectors one by one. Further, the analytic solution is provided. Simulations show that the algorithm here is effective even under the condition of the low signaltonoise ratio (SNR) which can overcome the shortcomings of conventional algorithms. In addition, our algorithm has low complexity of computation.

关 键 词：循环平稳性 二阶统计量 递推算法 盲信道辨识 盲信道均衡 

分 类 号：TN911.5[电子电信—通信与信息系统]