北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2006, Vol. 29 ›› Issue (5): 50-53.doi: 10.13190/jbupt.200605.50.sunyh

• 论文 • 上一篇    下一篇

基于列表的迭代分枝定界MIMO检测算法

孙艳华 龚萍 吴伟陵   

  1. 北京邮电大学信息工程学院 北京 100876
  • 收稿日期:2005-09-22 修回日期:1900-01-01 出版日期:2006-10-30 发布日期:2006-10-30
  • 通讯作者: 孙艳华

Iterative List Branch and Bound Algorithm
for MIMO Detection

SunYanhua GongPing WuWeiling   

  1. School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2005-09-22 Revised:1900-01-01 Online:2006-10-30 Published:2006-10-30
  • Contact: SunYanhua

摘要:

提出了基于列表的迭代分枝定界算法,利用搜索到的候选列表计算比特软信息,降低了MAP计算复杂度,同时进一步提出了改进的列表分枝定界算法,每次迭代利用更新的先验信息重新计算候选列表,提高了列表质量。仿真结果表明列表分枝定界算法通过在MIMO信道检测和信道解码之间传递外信息,取得了逼近信道容量的性能,而修正的考虑先验信息的列表分枝定界算法在性能损失可忽略的情况下,减小了候选列表的大小。

关键词: MIMO, 分枝定界, 迭代检测

Abstract:

An iterative list branch and bound algorithm is proposed in MIMO detection, which adopts candidate list to compute soft information and reduces computation complexity. Furthermore, an improved algorithm is proposed .It uses a prior information form the preceding iteration and has advantage from recalculating the candidate list. Simulation results show that the proposed iterative algorithm can achieve near-capacity performance and the improved algorithm reduces the required candidate list size without performance degradation.

Key words: MIMO, branch-and-bound, iterative detector

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