高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

接近最优的编码MIMO系统的发送天线子集选择算法

郑武 张海滨 宋文涛 刘兴钊

郑武, 张海滨, 宋文涛, 刘兴钊. 接近最优的编码MIMO系统的发送天线子集选择算法[J]. 电子与信息学报, 2007, 29(9): 2173-2176. doi: 10.3724/SP.J.1146.2006.00128
引用本文: 郑武, 张海滨, 宋文涛, 刘兴钊. 接近最优的编码MIMO系统的发送天线子集选择算法[J]. 电子与信息学报, 2007, 29(9): 2173-2176. doi: 10.3724/SP.J.1146.2006.00128
Zheng Wu, Zhang Hai-bin, Song Wen-tao, Liu Xing-zhao. Near Optimal Transmit Antenna Subset Selection Algorithms for Coded MIMO Systems[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2173-2176. doi: 10.3724/SP.J.1146.2006.00128
Citation: Zheng Wu, Zhang Hai-bin, Song Wen-tao, Liu Xing-zhao. Near Optimal Transmit Antenna Subset Selection Algorithms for Coded MIMO Systems[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2173-2176. doi: 10.3724/SP.J.1146.2006.00128

接近最优的编码MIMO系统的发送天线子集选择算法

doi: 10.3724/SP.J.1146.2006.00128
基金项目: 

国家863项目(2003AA123310)和国家自然科学基金(60572157,60332030)资助课题

Near Optimal Transmit Antenna Subset Selection Algorithms for Coded MIMO Systems

  • 摘要: 多天线无线系统可提供更大的信道容量和更好的抗衰落能力,发送端利用反馈的部分信道状态信息进行发送天线子集选择能够进一步提高信道容量。该文提出了一种MIMO系统的快速的、动态的天线子集选择算法,其提供的信道容量高于已有的静态算法,且接近于最优天线选择算法,而无需计算所有可能的天线子集组合的信道容量,因而具有更低的复杂度。将本文算法与比特交织编码调制(BICM)技术相结合,对各天线速率进行适配,提出了空时自适应比特交织编码调制(ST-ABICM)方案。仿真结果证实了该方案性能的优越性。
  • Foschini G J and Gans M J. On limits of wireless communications in a fading environment when using multiple antennas[J].Wireless Personal Communications.1998, 6(3):311-335[2]Telatar E. Capacity of multi-antenna Gaussian channels[J].European Trans. on Telecommunications.1999, 10(6):585-[3]Yu H, Kim M S, and Jeon T, et al.. Transmit antenna selection for MIMO systems with V-BLAST type detection. Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, Seoul, South Korea, 2004: 634-638.[4]Gorokhov A. Antenna selection algorithms for MEA transmission systems. IEEE International Conference on Acoustics, Speech and Signal Processing, Orlando, FL, 2002, (3): 2857-2860.[5]Gharavi A M and Gershman A B. Fast antenna subset selection in MIMO system[J].IEEE Trans. on Signal Processing.2004, 52(2):339-347[6]Haykin S, Sellathurai M, and De Jong Y L C. Turbo-MIMO for wireless communications. IEEE Communications Magazine, 2004, 42(10): 48-53.[7]Wang X and Poor H V. Iterative (Turbo) soft interference cancellation and decoding for coded CDMA[J].IEEE Trans. on Communications.1999, 47(7):1046-1061[8]Hochwald B M and Ten Brink S. Achieving near-capacity on a multiple-antenna channel[J].IEEE Trans. on Communications.2003, 51(3):389-399[9]Golub G H and Van Loan C F. Matrix Computations, 3rd Edition. Baltimore, MD: Johns Hopkins, 1996: 51.[10]De Jong Y L C and Willink T J. Iterative tree search detection for MIMO wireless systems[J].IEEE Trans. on Communications.2005, 53(6):930-935
  • 加载中
计量
  • 文章访问数:  3585
  • HTML全文浏览量:  106
  • PDF下载量:  845
  • 被引次数: 0
出版历程
  • 收稿日期:  2006-01-27
  • 修回日期:  2006-07-12
  • 刊出日期:  2007-09-19

目录

    /

    返回文章
    返回