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多天线系统中逼近最大似然的快速检测算法

杨宜进 赵春明 周鹏 巩晓群

杨宜进, 赵春明, 周鹏, 巩晓群. 多天线系统中逼近最大似然的快速检测算法[J]. 电子与信息学报, 2007, 29(6): 1276-1280. doi: 10.3724/SP.J.1146.2005.01390
引用本文: 杨宜进, 赵春明, 周鹏, 巩晓群. 多天线系统中逼近最大似然的快速检测算法[J]. 电子与信息学报, 2007, 29(6): 1276-1280. doi: 10.3724/SP.J.1146.2005.01390
Yang Yi-jin, Zhao Chun-ming, Zhou Peng, Gong Xiao-qun. An Efficient Detection Algorithm for MIMO Systems Approaching ML Performance[J]. Journal of Electronics & Information Technology, 2007, 29(6): 1276-1280. doi: 10.3724/SP.J.1146.2005.01390
Citation: Yang Yi-jin, Zhao Chun-ming, Zhou Peng, Gong Xiao-qun. An Efficient Detection Algorithm for MIMO Systems Approaching ML Performance[J]. Journal of Electronics & Information Technology, 2007, 29(6): 1276-1280. doi: 10.3724/SP.J.1146.2005.01390

多天线系统中逼近最大似然的快速检测算法

doi: 10.3724/SP.J.1146.2005.01390
基金项目: 

国家自然科学基金(60496311)资助课题

An Efficient Detection Algorithm for MIMO Systems Approaching ML Performance

  • 摘要: 该文针对无编码的多输入多输出无线通信系统中的最大似然检测接收机在发端天线数较多、调制阶数较高时计算复杂度过高的问题,提出了一种低复杂度的球形译码算法。该算法首先利用信道信息对待检测的发送信号矢量进行分组,然后对各组内的信号矢量采用球形译码进行最大似然检测,并在组间做干扰消除。理论分析和仿真表明,该算法不仅复杂度低,而且能够逼近最大似然检测的性能。
  • Jalden J and Ottersten B. On the complexity of sphere decoding in digital communications[J].IEEE Trans. on Signal Proc.2005, 53(4):1474-1484[2]Golden G D, Foschini G J, and Valenzuela R A, et al.. Detection algorithm and initial laboratory results using the V-BLAST space-time communication architecture[J].Electron. Lett.1999, 35(1):14-15[3]Rekaya G and Belfiore J C. Complexity of ML lattice decoders for the decoding of linear full rate space-time codes[C]. IEEE International Symposium on Information Theory (ISIT), Yokohama, Japan, 2003: 206-206.[4]Guo Z and Nilsson P. Reduced complexity Schnorr-Euchner decoding algorithms for MIMO systems[J].IEEE Commun. Lett.2004, 8(5):286-288[5]Kang J W and Kwang B E. Simplified ML detection scheme for MIMO systems[C]. IEEE Vehicular Technology Conference, Orlando, USA, 2004: 824-827.[6]Cui T and Tellambura C. Approximate ML detection for MIMO systems using multistage sphere decoding[J].IEEE Signal Proc. Lett.2005, 12(3):222-225[7]Agrell E, Eriksson T, and Vardy A, et al.. Closest point search in lattices[J].IEEE Trans. on Inform. Theory.2002, 48(8):2201-2214[8]Fincke U and Pohst M. Improved methods for calculating vectors of short length in a lattice, inlcuding a complexity analysis[J].Math. Computat.1985, 44(170):463-471[9]Viterbo E and Boutros J. A universal lattice code decoder for fading channels[J].IEEE Trans. on Inform. Theory.1999, 45(5):1639-1642[10]Hochwald B and Brink S T. Achieving near-capacity on a multipleantenna channel[J].IEEE Trans. on Commun.2003, 51(3):389-399
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出版历程
  • 收稿日期:  2005-10-31
  • 修回日期:  2006-05-18
  • 刊出日期:  2007-06-19

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