通信学报 ›› 2013, Vol. 34 ›› Issue (2): 8-14.doi: 10.3969/j.issn.1000-436x.2013.02.002

• 学术论文 • 上一篇    下一篇

接近最优检测性能的低复杂度线性并行MIMO检测算法

芮国胜,张海波,张洋,田文飚,张嵩,李廷军   

  1. 海军航空工程学院 信号与信息处理山东省重点实验室,山东 烟台 264001
  • 出版日期:2013-02-25 发布日期:2017-07-17
  • 基金资助:
    “泰山学者”建设工程专项经费基金资助项目

Low complexity linear parallel detection algorithm for near ML detection of MIMO systems

Guo-sheng RUI,Hai-bo ZHANG,Yang ZHANG,Wen-biao TIAN,Song ZHANG,Ting-jun LI   

  1. Signal and Information Processing Provincial KeyLaboratory ofShandongProvince, Naval Aeronautical and Astronautical University, Yantai264001, China
  • Online:2013-02-25 Published:2017-07-17
  • Supported by:
    The Special Foundation Program for Taishan Mountain Scholars

摘要:

摘 要:在高阶正交幅度调制下,现有用于MIMO系统的并行检测算法复杂度极高,且随着天线数增多复杂度快速增加;而低复杂度的非并行检测算法与最优检测算法相比,其误比特率性能仍存在一定差距。针对上述问题,提出了一种接近最优检测性能的低复杂度并行 MIMO 检测算法,该算法基于信道分组检测的思想,对通过受噪声干扰严重的子信道信号采用遍历所有空间映射点的方式进行检测,对其余信号则采用新的基于lattice reduction的线性并行检测算法进行检测。仿真结果表明该算法在获得近似最优检测性能以及提高分集增益的同时,仍可保持较低的复杂度,且在高阶QAM调制方式下,复杂度降低尤为明显。

关键词: 多输入多输出系统, 并行检测, 格归约, 正交幅度调制

Abstract:

The existing parallel detection algorithms for MIMO systems have extremely high complexity under high order QAM and its complexity grows rapidly with the increase of the number of antenna.The non-parallel detection algorithms with low complexity have great SNR gap with optimal detection algorithm.A new parallel linear detection algorithm with low complexity was proposed.This algorithm exploited all symbols in QAM constellation as a reference to cancel the interference of the worst SNR sub-channel and detected the received signals of the rest with a new parallel linear detection algorithm based on lattice reduction.The simulation results show that the proposed detection algorithm is near the performance of the optimal detection algorithm and improves the diversity order with low complexity.Especially under the high order QAM, the complexity is decreased in evidence.

Key words: MIMO system, parallel detection, lattice reduction, QAM

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