Dynamic K-Best Sphere Decoding Algorithms for MIMO Detection

作     者：Chengzhe Piao Yang Liu Kaihua Jiang Xinyu Mao 

作者机构：School of electronic engineering and computer science Peking University Beijing China 

出 版 物：《Communications and Network》 (通讯与网络（英文）)

年 卷 期：2013年第5卷第3期

页      面：103-107页

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 

主　　题：Multiple Input Multiple Output (MIMO) Detection K-Best Sphere Decoding (K-Best SD) 

摘      要：Multiple Input Multiple Output (MIMO) technology is of great significance in high data rate wireless communication. The K-Best Sphere Decoding (K-Best SD) algorithm was proposed as a powerful method for MIMO detection that can approach near-optimal performance. However, some extra computational complexity is contained in K-Best SD. In this paper, we propose an improved K-Best SD to reduce the complexity of conventional K-Best SD by assigning K for each level dynamically following some rules. Simulation proves that the performance degradation of the improved K-Best SD is very little and the complexity is significantly reduced.