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线性离散码系统中基于近似容量分析的发送天线选择算法

许莉 朱近康 邱玲

许莉, 朱近康, 邱玲. 线性离散码系统中基于近似容量分析的发送天线选择算法[J]. 电子与信息学报, 2010, 32(6): 1423-1428. doi: 10.3724/SP.J.1146.2009.00830
引用本文: 许莉, 朱近康, 邱玲. 线性离散码系统中基于近似容量分析的发送天线选择算法[J]. 电子与信息学报, 2010, 32(6): 1423-1428. doi: 10.3724/SP.J.1146.2009.00830
Xu Li, Zhu Jin-kang, Qiu Ling. Transmit Antenna Selection Based on Approximate Capacity Analysis in Linear Dispersion Codes Systems[J]. Journal of Electronics & Information Technology, 2010, 32(6): 1423-1428. doi: 10.3724/SP.J.1146.2009.00830
Citation: Xu Li, Zhu Jin-kang, Qiu Ling. Transmit Antenna Selection Based on Approximate Capacity Analysis in Linear Dispersion Codes Systems[J]. Journal of Electronics & Information Technology, 2010, 32(6): 1423-1428. doi: 10.3724/SP.J.1146.2009.00830

线性离散码系统中基于近似容量分析的发送天线选择算法

doi: 10.3724/SP.J.1146.2009.00830

Transmit Antenna Selection Based on Approximate Capacity Analysis in Linear Dispersion Codes Systems

  • 摘要: 为了降低应用线性离散码(LDC)的多输入多输出系统中发送天线选择算法的复杂度,该文利用LDC的线性变换矩阵的酉矩阵参数化性质,推导出了一种考虑LDC矩阵平均影响的近似容量表达式。近似容量表达式不涉及时间扩展的高阶等效信道矩阵的运算,从而基于近似容量的发送天线选择算法可以有效地降低运算复杂度。该文从近似容量出发,给出了最大化近似容量的发送天线选择算法和基于矩阵消元的天线选择算法。近似容量表达式为基于垂直空时分层码(V-BLAST)提出的低复杂度天线选择算法在LDC系统中的直接应用提供了理论支持。仿真结果表明,所提方案具有与最优天线选择算法相近的性能,但具有更低的计算复杂度。基于矩阵消元的天线选择算法与在V-BLAST系统中提出的基于范数和相关性的天线选择算法相比,可以获得更好的分集增益,因而具有更好的误码率性能。
  • Tarokh V, Seshadri N, and Calderbank A R. Space-time codes for high data rate wireless communication: Performance criterion and code construction[J].IEEE Transactions on Information Theory.1998, 44(2):744-765[2]Sanayei Shahab and Nosratinia Aria. Antenna selection in MIMO systems. IEEE Communications Magazine, 2004, 42(10): 68-73.[3]Hassibi B and Hochwald B M. High-rate codes that are linear in space and time[J].IEEE Transactions on Information Theory.2002, 48(7):1804-1824[4]Heath R W Jr and Paulraj A J. Linear dispersion codes for MIMO systems based on frame theory[J].IEEE Transactions on on Signal Processing.2002, 50(10):2429-2441[5]Fasano A and Barbarossa S. An information lossless, full diversity, full rate, linear dispersion STBC. IEEE International Conference on Telecommunications, St. Petersburg, 2008: 1-4.[6]Fasano A and Barbarossa S. Trace-orthogonal space-time coding[J].IEEE Transactions on Signal Processing.2008, 56(5):2017-2034[7]Gheryani M, Wu Z, and Shayan Y. Design of an adaptive MIMO system using linear dispersion code[J].IEEE Transactions on Wireless Communications.2008, 7(11):4739-4747[8]Gheryani M, Shayan Y, and Wu Z, et al.. Error performance of linear dispersion codes. IEEE Global Communication Conference (GLOBECOM 2008), New Orleans, USA, Nov. 30-Dec. 4, 2008: 1-4.[9]Deng Dan, Zhao Ming, and Zhu Jin-kang. Transmit antenna selection for linear dispersion codes based on linear receiver. Vehicular Technology Conference, 2006 Spring. Melbourne, Australia, 2006: 2927-2931.[10]Liu Shen-fa, He Zhi-qiang, and Wu Wei-ling, et al.. A fast sub-optimal antenna selection algorithm in MIMO systems. Wireless Communications and Networking Conference, New Orleans, USA, 3-6 April 2006, 2: 734-739.[11]Zheng L and Tse D. Diversity and multiplexing: A fundamental tradeoff in multiple-antenna channels[J].IEEE Transactions on Information Theory.2003, 49(5):1073-1096
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出版历程
  • 收稿日期:  2009-06-03
  • 修回日期:  2009-09-25
  • 刊出日期:  2010-06-19

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