计算机与现代化

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基于GA的SDMA-MIMO系统联合检测算法

  

  1. (南阳理工学院计算机与信息工程学院,河南 南阳 473004)
  • 收稿日期:2015-01-13 出版日期:2015-05-18 发布日期:2015-05-18
  • 作者简介:杜娟(1986-),女,河南南阳人,南阳理工学院计算机与信息工程学院讲师,硕士,研究方向:移动通信技术,MIMO-OFDM无线通信系统; 王琪(1987-),女,讲师,硕士,研究方向:图像处理,图像检索,模式识别; 方伟伟(1986-),女,副教授,博士,研究方向:峰均比抑制技术,多维映射技术,数字广播技术。

Joint Detection Algorithm for SDMA-MIMO Systems Based on GA

  1. (College of Computer and Information Engineering, Nanyang Institute of Technology, Nanyang 473004, China)
  • Received:2015-01-13 Online:2015-05-18 Published:2015-05-18

摘要: 为了提高SDMA-MIMO系统接收机的整体性能,提出基于遗传算法的最小均方误差多用户检测和信号解调的联合优化算法。该算法把解调后的用户信息作为遗传算法的初始种群,从而提高多用户检测的初始精度,并通过多次迭代使系统性能得到提高。仿真结果表明:在同样复杂度的情况下,相比基于遗传算法的MMSE检测技术,MMSE-GA MJD可以获得更优的系统性能。

关键词: SDMA-MIMO, 多用户检测, 信号解调, 联合优化

Abstract: To improve the overall system performance for SDMA-MIMO, the joint MMSE multi-user detection and signal demodulation based on genetic algorithm is proposed. The algorithm values the demodulated user information as the initial population of the genetic algorithm, so the accuracy of multi-user detection algorithm is improved, and the system performance is improved after several iterations. Simulation results show that at the modest complexity, compared to MMSE detection based genetic algorithm, MMSE-GA MJD can achieve better performance.

Key words: SDMA-MIMO, multi-user detection, signal demodulation, joint optimization

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