东南大学学报（英文版）2009，Vol.25Issue(1)：1-5,5.
MIMO系统中的新型K-best检测算法
Novel K-best detection algorithms for MIMO system
摘要
Abstract
Aiming at the optimum path excluding characteristies and the fuIl constellation searching characteristics of the K-best detection algorithm,an improved-performance K-best detection algorithm and several reduced-complexity K-best detection algorithms are proposed.The improved-performance K-best detection algorithm deploys minimum mean square emor (MMSE)filtering of a channel matrix before QR decomposition.This algorithm can decrease the probability of excluding the optimum path and achieve better performance.The reduced-complexity K-best detection algorithms utilize a sphere decoding method to reduce searching constellation points.Simulation results show that the improved performance K-best detection algorithm obtains a 1 dB performance gain compared to the K-best detection algorithm based on sorted QR deconaposition (SQRD).Performance loss Occurs when K=4 in reduced complexity K-best detection algorithms.When K=8,the reduced complexity K-best detection algorithms require less computational effort compared with traditional K-best detection algorithms and achieve the same performance.关键词
排序QR分解/K-best/球形译码/最大似然检测/最小均方误差Key words
sorted QR decomposition/K-best/sphere decoding/maximum-likelihood detection/minimum mean square error分类
信息技术与安全科学引用本文复制引用
向星宇,仲文..MIMO系统中的新型K-best检测算法[J].东南大学学报（英文版）,2009,25(1):1-5,5.基金项目
The National High Technology Research and Develop-ment Program of China(863 Program)(No.2006AA01Z264),the National Natural Science Foundation of China(No.60572072). （863 Program）
