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逼近最大似然(ML)性能的降维VBLAST检测算法 被引量：2

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摘要 在多输入多输出系统中,空分复用是一种获得系统通信容量的有效方式.BLAST(Bell-labs layered space time)是空间复用方式的典型代表.其中VBLAST应用最为广泛,它的检测算法有ML,ZF-DFE,ML-DFE等.本文在以上几种算法的基础上,讨论了信道相关性对检测性能的影响,提出了一种接近ML性能的低复杂度新算法--HPML算法.仿真表明,HPML在获取接近ML性能的同时有效的降低了算法的复杂度.
作者 程文驰 张海林
机构地区 西安电子科技大学综合业务网理论及关键技术国家重点实验室
出处 《中国科学：信息科学》 CSCD 2010年第8期1106-1112,共7页 Scientia Sinica(Informationis)
基金 国家自然科学基金(批准号:60772137)资助项目
关键词 BLAST 信道相关性 ML检测算法 HPML检测算法
分类号 TN919.72 [电子电信—通信与信息系统]
  • 相关文献

参考文献7

  • 1潘文,蒋占军,杜正锋,王炎,尤肖虎.BLAST结构ML检测简化方法分析[J].中国科学（E辑）,2008,38(8):1277-1283. 被引量：6
  • 2肖海勇,毕光国,金秀峰.一种组合的LSD和DFE V-BLAST检测算法[J].电子与信息学报,2007,29(1):143-147. 被引量：4
  • 3Mohinder Jankiraman."Space-Time codes and MIMO systems". . 2004
  • 4Jiang W J,Yusuke A,Shuji K.Tree search based approximate maximum likelihood detector for spatial multiplexing systems. Proc IEEE PIMRC . 2007
  • 5Wolniansky P W,Forshini G J,Golden G D,et al.V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel. Proceedings of International Symposium on Signals,Systems,and Electronics(ISSSE ’98) . 1998
  • 6B Hassibi.An Efficient Square-Root Algorithm for blast. Proceedings of the IEEE International Conference on Acoustics,Speech and Signal Processing . 2000
  • 7Choi W J,Negi R,Cioffi J M.Combined ML and DFE decoding for the V-BLAST system. 2000 IEEE International Conference on Communications . 2000

二级参考文献17

  • 1Paulraj A, Gore D, Naber R. Introduction to Space-Time Wireless Communications. London: Cambridge university press, 2003. 137--162.
  • 2Alamouti M. A simple transmit diversitv technique for wireless communications. IEEE J Sel Area Commun, 1998, 16:1451--1458.
  • 3Tarokh V, Jafarkhani H, Calferbank A. Space-time block codes from orthogonal designs. IEEE Trans IT, 1999, 45(5): 1456--1467.
  • 4Telatar I E. Capacity of multi-antenna Gaussian channels. Eur Trans Tel, 1999, 10(6): 585--595.
  • 5Foschini G J. Layered space-time architecture for wireless communications in a fading environment when using multi-element antennas. Bell Labs Tech J, 1996. 41--59.
  • 6Paulrai A, Gore D, Naber R, et al. An overview of MIMO communications-a key to gigabit wireless. IEEE proc, 2004, 92(2): 198 218.
  • 7Sweatman H, Thompson S. A comparison of detection algorithms including blast for wireless communication using multiple antennas. In: the 11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. London: IEEE Press, 2000. 698--703.
  • 8Zheng L Z, Tse D N. Diversity and multiplexing:, a fundamental tradeoff in multiple-antenna channels. IEEE Trans Inf Theor, 2003, 49(5): 1073--1096.
  • 9Yao H, Gregory, W W. Lattice-reduction-aided detectors for MIMO communication systems. In: Global Telecommunications Conference. Taipei: IEEE, 2002. 424--428.
  • 10Golden G D, Foschini C J, Valenzuela R A, et al. Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture. IEE Electron Lett, 1999, 35(1): 14--16.

共引文献7

同被引文献26

  • 1苏昕,孙永军,易克初.一种结合ML检测的高性能V-BLAST系统[J].西安电子科技大学学报,2005,32(3):344-347. 被引量：6
  • 2FOSCHINI G J, GANS M J. On limits of wireless communications in a fading environment when using multiple antennas [ J]. Wireless Personal Communications, 1998 (6) :311 -335.
  • 3PAULRAJ A. Introduction to space time wireless communication [ M ]. London : Cambridge University Press, 2003.
  • 4LANEMAN J N, WORNELL G W. Distributed spacetime-coded protocols for exploiting cooperative diversity in wireless networks [ J ]. IEEE Transactions on Information Theory, 2003, 49(10) : 2415 -2425.
  • 5CUI Shuguang, GOLDSMITH A J, AHMAD B. Energy- efficiency of MIMO and cooperative MIMO techniques in sensor networks [ J ]. IEEE Journal on Selected Areas in Communications, 2004, 22 (6) : 1089 - 1098.
  • 6LI Xiaohua. Energy efficient wireless sensor networks with transmission diversity [ J ]. IEEE Electronics Letters, 2003, 39(24) : 1753 - 1755.
  • 7LI Xiaohua, CHEN Mo, LIU wenyu. Application of STBC-encoded cooperative transmissions in wireless sensor networks [J]. IEEE Signal Processing Letters, 2005, 12 (2) : 134 - 137.
  • 8JAYAWEERA S K, CHEBOLU M L. Virtual MIMO and distributed signal processing for sensor networks-an inte grated approach[ C ]//Proceedings of the IEEE International Conference on Communications (ICC 05 ). Seoul, Korea: IEEE Press, 2005 : 1214 - 1218.
  • 9RALEIGH G G, CIOFFI J M. Spatio-temporal coding for wireless communications [ J ].IEEE Trans Communications, 1998, 46(3) : 357 -366.
  • 10TAROKH V, SESHDRI N, CALDERBANK A R. Space-time codes for high data rate wireless communications: Performance criterion and code construction [ J]. IEEE Trans Information Theory, 1998,44:744 - 765.

引证文献2

二级引证文献1

中国科学：信息科学
2010年 第8期

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