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空时分组编码多载波码分多址系统的直接解码 被引量：1

Direct Decoding for Space-Time Block Coded MC-CDMA Systems
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摘要 针对宏蜂窝小区中基站使用均匀线阵空时分组编码多载波码分多址系统的上行物理链路,该文提出了一种无需信道估计,直接对多个用户的发射符号和波达方向进行盲估计的算法。该算法通过构筑蕴涵用户编码符号序列和波达方向的辅助矩阵,对其进行特征分解,得到了每个用户波达方向的闭式解。进而,利用空时分组码的正交结构以及发射符号的有限码集特性给出了所有活动用户原始符号序列的闭式估计。计算机仿真实验验证了该算法的有效性。 The uplink of a space-time block coded MC-CDMA system equipped with a uniform linear array at the base station of macrocellular is studied. A blind estimation algorithm is proposed to provide the closed-form solutions of both the transmitted symbol sequences and the Directions Of Arrival （DOA） for multiple users without determining the space-time vector channels. An auxiliary matrix including both the coded symbol sequences and DOAs is derived, on which the eigen decomposition is performed to obtain the DOAs of different users. Then, the algorithm exploits the structure of space-time block coding in combination with the finite alphabet property of transmitted symbols to estimate the original symbol sequences for all active users. The computer simulations demonstrate the effectiveness of the proposed scheme.
作者 曾雁星 殷勤业 张一闻 罗铭
机构地区 西安交通大学电子与信息工程学院
出处 《电子与信息学报》 EI CSCD 北大核心 2005年第8期1258-1263,共6页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60272071)教育部博士点基金(20020698024 20030698027)资助课题
关键词 多载波码分多址 空时分组编码 阵列天线 波达方向 MC-CDMA, Space-time block coding, Antenna array, Direction-Of-Arrival （DOA）
分类号 TN916.9 [电子电信—通信与信息系统]
  • 相关文献

参考文献12

  • 1Tarokh V, Jafarkhani H, Calderbank A R. Space-time block codes from orthogonal designs. IEEE Trans. on Info. Theory, 1999,45(5): 1456- 1467.
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二级参考文献3

  • 1殷勤业，1989年
  • 2殷勤业，1990年
  • 3殷勤业，1989年

共引文献150

同被引文献9

  • 1Auffray J M and Helard J F. Performance of multicarrier CDMA technique combined with space-time block coding over Rayleigh channel [C]. IEEE Proc. of ISSSTA, Prague, Czech Republic, 2002, 2: 348-352.
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  • 5Du Y and Chan K T. Feasibility of applying genetic algorithms in space-time block coding multiuser detection systems [C]. Proc. of ICWOC, Banff, Alberta, Canada, 2003, 3: 469-473.
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  • 8Zhao Y and Zheng J. Particle swarm optimization algorithm in signal detection and blind extraction [C]. IEEE Proc. of 7th ISPAN, Hongkong, China, 2004, 1: 37-41.
  • 9Zitzler E and Thiele L. Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach [J]. IEEE Trans. on Evol. Comput., 1999, 3(4): 257-271.

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电子与信息学报
2005年 第8期

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