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基于PARALIND模型的MIMO-CDMA盲多用户检测算法

PARALIND-based blind multiuser detection algorithm in MIMO-CDMA system
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摘要 提出了一种新的基于线性相关平行剖面模型(parallel profiles with linear dependencies,PARALIND)的MIMO-CDMA盲多用户检测算法。PARALIND模型的分解唯一性并结合通信信号的结构特征,算法在信道衰落和用户扩频码未知的情况下实现MIMO-CDMA信号的盲多用户检测。对恒模约束PARALIND模型的分解唯一性进行了讨论,并给出了唯一性定理。仿真结果表明,基于PARALIND模型的多用户检测算法具有良好的误符号率性能。算法在处理小数据块时同样有效。 A new parallel profiles with linear dependencies(PARALIND)-based blind multiuser detection algorithm in MIMO-CDMA system is proposed.Based on the uniqueness of PARALIND decomposition and the structure property of communication signals,this algorithm can detect MIMO-CDMA signals without any knowledge of the channel coefficients and users' spreading codes.The uniqueness property of the PARALIND model with constant modulus(CM) structure is discussed,and the related uniqueness theorem is presented.Simulation results show that the algorithm has good symbol error rate performance and works well in small data block condition.
作者 刘旭 许宗泽
出处 《系统工程与电子技术》 EI CSCD 北大核心 2011年第2期404-410,共7页 Systems Engineering and Electronics
基金 国家自然科学基金(61071090) 国家重大科技专项(2009ZX03001-004)资助课题
关键词 多用户检测 线性相关平行剖面模型 MIMO-CDMA系统 multiuser detection PARALIND model MIMO-CDMA system
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参考文献16

  • 1Huang H, Viswanathan H, Foschini G J. Multiple antennas in cellular CDMA systems: transmission, detection, and spectral efficiency[J]. IEEE Trans. on Wireless Communications, 2002, 1(3):383 - 392.
  • 2Yang L L. MIMO-assisted space-code-division multiple-access: linear detectors and performance over muhipath fading channels[J]. IEEE Journal on Selected Areas in Communications, 2006,24(1) : 121 - 131.
  • 3Kim B H, Zhang X X, Flury M. Linear MMSE space-time equalizer for MIMO multicode CDMA systems[J]. IEEE Trans. on Communications ,2006,54(10):1710 - 1714.
  • 4Sfar S, Letaief K B. Layered group detection for multiuser MIMO wireless CDMA systems[J].IEEE Trans. on Wireless Communications, 2006,5 (9) : 2305 - 2311.
  • 5Ueng F B, Tsai C S, Chen J D. Adaptive detectors for MIMO DS/CDMA communication systems[J].IEEE Trans. on Vehicular Technology, 2008,57 (5) : 3015 - 3027.
  • 6Bro R, Harshman R A, Sidiropoulos N D, et al. Modeling multi-way data with linearly dependent loadings[J].Journal of Chemometrics,2009,23(7 - 8) :324 - 340.
  • 7Bahrain M, Bro R. A novel strategy for solving matrix effect in three-way data using parallel profiles with linear dependenciesm[J].Analytica Chimica Acta, 2007,584 (2) : 397 - 402.
  • 8Graciela M E Nieholaas M F, Hector C G, et al. Second-and third- order multivariate calibration: data, algorithms, and applications[J]. Trends in Analytical Chemistry,2007,26(7) :752 765.
  • 9Lathauwcr L D. Decompositions of a higher-order tensor in block terms--Part Ⅱ: definitions and uniqueness[J].SIAM Journal on Matriz Analysis and Applications, 2008,30 (3) : 1033 - 1066.
  • 10Kruskal J B. Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics[J]. Linear Algebra Application ,1977,18(2) :95 - 138.

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