蔡剑兴， 尹长川^*

（  北京邮电大学信息与通信工程学院，北京市 100876；  ）

摘要： 在大规模多天线系统中，当收发两端的配置的天线数量逐渐增多时，传统的多入多出Multiple-input Multiple-output，MIM检测算法，例如(Zero Force，ZF)检测算法、最小均方(Minimum Mean Square Error，MMSE)和基于MMSE的连续干扰抵(Successive Interference Cancellation，SIC)检测算法，在检测性能和计算复杂度上不能同时满足大规模多天线系统的要求。动态禁忌搜索(Reactive Tabu Search,，RTS)算法能够以较低的复杂度获得较好的系统的误比特率(Bit Error Rate，BER)性能。但是，RTS检测算法在系统采用高阶调制时，其BER性能仍与最大似然(Maximum Likelihood, ML)检测的性能有较大的差距。针对这一问题，本文在RTS算法的基础上，提出随机干扰RTS(Random Interference RTS, RI-RTS)检测算法，使得系统在采用高阶调制的时候获得更加优异的性能。
关键词： MIMO；检测算法；RTS；RI-RTS

Cai Jianxing^1,， YIN Changchuan^2,*

（  1、School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876；       2、School of Information and Communication Engineering, Beijing University, Beijing 100876；  ）

Abstract： Traditional signal receiving detection methods, e.g., Zero-Force(ZF) method and Minimum Mean Square Error(MMSE) method, cannot provide high-performance and low complexity simultaneously when the number of antennas increased in large-MIMO systems, while the Reactive Tabu search (RTS) offers better performance in terms of system Bit Error Rate (BER) with low complexity. However, the performance of RTS for higher order modulation is far from Maximum-Likelihood(ML) performance. In view of this case, the paper proposes Random-Interference RTS (RI-RTS) algorithm which achieves significantly better BER performance in higher-order modulation compared to the conventional RTS algorithm.

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