计算机应用研究2012，Vol.29Issue(2)：739-740,753,3.DOI:10.3969/j.issn.1001-3695.2012.02.090
一种低复杂度的MIMO迭代检测算法
Low complexity MIMO iterative detection algorithm
摘要
Abstract
In order to reduce complexity of the joint detection algorithm in MIMO system and to guarantee performance of the system, this paper proposed the FP-MAP algorithm, which used the soft information during the searching process of sphere decoding. The algorithm in calculating the maximum likelihood information used its soft priori information, and obtained the soft extrinsic information in the iterative process. Theoretical analysis and simulation shows that, compared with the LSD-MAP algorithm , FP-MAP algorithm has relatively lower complexity, but the BER performance of FP-MAP algorithm is equal to the LSD-MAP algorithm,compared with the SIC-MMSE algorithm, the performance FP-MAP algorithm is superior to SIC-MMSE algorithm.关键词
联合检测/球形译码/软先验信息/最大似然/软外信息Key words
joint detection/ sphere decoding/ soft priori information/ maximum likelihood/ soft extrinsic information分类
信息技术与安全科学引用本文复制引用
徐琳,吴玉成,李江雯..一种低复杂度的MIMO迭代检测算法[J].计算机应用研究,2012,29(2):739-740,753,3.基金项目
中国博士后基金资助项目(20090450787) （20090450787）
重庆市教委科技项目(KJ08 A09) （KJ08 A09）
"211工程"创新人才培养计划(S-09102) （S-09102）
