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一种新的多天线系统中的快速广义球形解码算法 被引量：2

A New Fast Generalized Sphere Decoding Algorithm in MIMO Systems
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摘要 该文提出了一种新的广义球形解码算法。与常规球形解码算法相比,它能够处理多输入多输出系统(MIMO) 中发送天线M多于接收天线N的情形,并且其解码速度远大于已有的广义球形解码算法。其基本思想是将M维的传输信号矢量分成N-1和M-N+1维的子矢量xa和xb,通过一些简单地变换,就可以使用一个常规球形解码器来选取合适的xb,然后再利用另一个常规球形解码器来获得xa,从而得到整个传输信号矢量。仿真结果表明,这种新的快速广义球形解码算法(命名为双层球形解码算法)比现有的广义球形解码算法具有更低的复杂度。 A new generalized sphere decoding algorithm is proposed for underdetermined MIMO systems with fewer receive antennas N than transmit antennas M. The proposed algorithm is significantly faster than the existing generalized sphere decoding algorithms. The basie idea is to partition the transmitted signal vector into two subvectors x_a and x_b with N- 1 and M-N+1 elements respectively. After some simple transformations, an outer layer Sphere Decoder (SD) can be used to choose proper X_b and then use an inner layer SD to decide x_a, thus the whole transmitted signal vector is obtained. Simulation results show that Double Layer Sphere Decoding (DLSD) has far less complexity than the existing Generalized Sphere Decoding (GSDs).
作者 刘超 杨宗凯 何建华
机构地区 华中科技大学电子与信息系
出处 《电子与信息学报》 EI CSCD 北大核心 2005年第7期1114-1117,共4页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60202005)资助课题
关键词 无线通信 广义球形解码算法 双层球形解码算法 多输入多输出系统 Wireless communications, Generalized sphere decoding algorithm, Double layer sphere decoding algorithm, MIMO
分类号 TN929.5 [电子电信—通信与信息系统]
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参考文献8

  • 1Telatar I E. Capacity of multi-antenna Gaussian channels. Eur.Trans. Telecom, 1999, 10(3): 585 - 595.
  • 2Foschini G J. Layered space-time architecture for wireless communication in a fading environment when using multielement antennas. Bell Labs. Tech. J., 1996, 1(2): 41 - 59.
  • 3Marzetta T L, Hochwald B M. Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading.IEEE Trans. on Info. Theory, 1999, 45(1): 139- 157.
  • 4Damen M O, Gamal H E, Caire G. On maximum-likelihood detection and the search for the closest lattice point. IEEE Trans. on Info. Theory, 2003, 49(10): 2389 - 2402.
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  • 8Dayal P, Varanasi M K. A fast generalized sphere decoder for optimum decoding of under-determined MIMO systems. 41st Annual Allerton Conf. on Comm. Control, and Comput.,Monticello, Italy, Oct. 2003, Vol. 3:256 - 261.

同被引文献10

  • 1尧文元,孙湘裕,王军选,李道本.CDMA系统联合检测的球译码算法[J].吉林大学学报（信息科学版）,2005,23(4):396-401. 被引量：3
  • 2孙艳华,吴伟陵.分枝定界MIMO检测算法的推广及改进[J].高技术通讯,2006,16(6):556-559. 被引量：1
  • 3Foschini G J and Gans M J. On limits of wireless communication in fading environment when using multiple antennas. Wireless Personal Communications, 1998, 6(3): 311-335.
  • 4Agrell E, Eriksson T, Vardy A, and Zeger K. Closest point search in lattices. IEEE Trans. on Inform. Theory, 2002, 48(10): 2201-2214.
  • 5Damen M O, Gamal H E, and Caire G. On maximum-likelihood detection and search for the cloest lattice point. IEEE Trans. on Infom. Theory, 2003, 49(10): 2389-2402.
  • 6Hochwald B M and Brink S T. Achieving near-capacity on a multiple-antenna channel. IEEE Trans. on Communications, 2003, 51(3): 389-399.
  • 7Pham D, Pattipati K R, Willett P K, and Luo J. An improved complex sphere decoder for V-BLAST systems. IEEE Signal Processing Letters, 2004, 11(9): 748-751.
  • 8Damen M O, Abed-Meraim K, and Belfiore J C. Generalised sphere decoder for asymmetrical space-time communication architecture. IEE Electronics Letters, 2000, 36(2): 166-167.
  • 9Dayal P and Varanasi M K. A fast generalized sphere decoder for optimum decoding of MIMO systems The 41st Annual Allerton Conf. on Comm. Control, and Comput., Monticello, IL, 2003: 1216-1225.
  • 10Chang Xiao-Wen and Yang Xiaohua. A New Fast Generalized Sphere Decoding Algorithm for Under- Determined MIMO Systems. The 23rd Biennial Symposium on Communications, Kingston, Ontario, Canada, June, 2006: 18-21.

引证文献2

二级引证文献1

电子与信息学报
2005年 第7期

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