基于QR-RLS算法的OFDM系统盲自适应时域均衡器  

QR-RLS based blind adaptive TEQ for OFDM system

作　　者：韩华[1] 程汉文[2] 吴乐南[1] 

机构地区：[1]东南大学信息科学与工程学院,江苏南京210096 [2]防空兵指挥学院,河南郑州450052

出　　处：《电路与系统学报》2012年第4期124-127,共4页Journal of Circuits and Systems

基　　金：国家自然科学基金(60872075)

摘　　要：在正交频分复用(OFDM)系统中,使用时域均衡器来消除由于循环前缀长度小于信道时延扩展长度而导致的符号间干扰。为了克服Merry算法收敛速度较慢的缺点,提出了一种适用于无线时变信道环境的改进的盲自适应时域均衡器。该算法利用QR-RLS算法实现均衡器抽头的迭代计算,改善了Merry算法的收敛速度和鲁棒性。理论分析和仿真结果表明,该算法收敛速度明显优于Merry算法,且性能接近MSSNR算法最优解。In orthogonal frequency division multiplexing（OFDM）system, the time domain equalizer （TEQ）can be used to eliminate the intersymbol interference（ISI）which caused by cyclic prefix length which is less than channel delay spread. In order to overcome the shortcomings of slow convergence rate of the Merry algorithm, an improved blind adaptive TEQ which can be used in wireless time varying channel is proposed. The QR-RLS algorithm is utilized to perform the iterative computation of equalizer taps, and the convergence speed and the robustness of the Merry algorithm are improved. Theoretical analysis and simulation results show that the convergence speed of proposed TEQ algorithm is better than Merry algorithm and the performance of proposed TEQ algorithm is close to the optimal solution of MSSNR algorithm.

关 键 词：正交频分复用 符号间干扰 时域均衡器 

分 类 号：TN92[电子电信—通信与信息系统]