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一种动态子信道分配MIMO-OFDM波束成形系统的信号检测算法

王军 刘宁 李少谦

王军, 刘宁, 李少谦. 一种动态子信道分配MIMO-OFDM波束成形系统的信号检测算法[J]. 电子与信息学报, 2010, 32(1): 135-140. doi: 10.3724/SP.J.1146.2008.01576
引用本文: 王军, 刘宁, 李少谦. 一种动态子信道分配MIMO-OFDM波束成形系统的信号检测算法[J]. 电子与信息学报, 2010, 32(1): 135-140. doi: 10.3724/SP.J.1146.2008.01576
Wang Jun, Liu Ning, Li Shao-qian. An Improved Detection Algorithm for MIMO-OFDM Beamforming System with Dynamic Subchannel Allocation[J]. Journal of Electronics & Information Technology, 2010, 32(1): 135-140. doi: 10.3724/SP.J.1146.2008.01576
Citation: Wang Jun, Liu Ning, Li Shao-qian. An Improved Detection Algorithm for MIMO-OFDM Beamforming System with Dynamic Subchannel Allocation[J]. Journal of Electronics & Information Technology, 2010, 32(1): 135-140. doi: 10.3724/SP.J.1146.2008.01576

一种动态子信道分配MIMO-OFDM波束成形系统的信号检测算法

doi: 10.3724/SP.J.1146.2008.01576

An Improved Detection Algorithm for MIMO-OFDM Beamforming System with Dynamic Subchannel Allocation

  • 摘要: 基于动态子信道分配的MIMO-OFDM波束成形系统可以获得比传统系统更好的误码率性能。但由于处理或者反馈时延的影响,会使得发射机利用不准确的信道状态信息发射数据,从而在数据流之间引入干扰,导致系统性能下降。通过分析时延对系统的影响,该文提出了一种改进的检测算法:通过构建等效MIMO系统模型,采用最小均方误差MIMO检测算法抑制数据流之间的干扰,并利用等效MIMO信道矩阵的特征值分解白化噪声获得等效高斯信道模型,计算编码比特的对数似然比。仿真表明,该算法相对于现有算法有2.5~4 dB的性能增益。
  • [1] St ber G L, Barry J R, and Mclaughlin S W, et al..Broadband MIMO-OFDM wireless communications [J].Proceedings of the IEEE.2004, 92(2):271-294 [2] Kim H, Kim J, and Yang S, et al.. An effective MIMO-OFDMsystem for IEEE 80222 WRAN channels [J].. IEEETransactions on Circuits and Systems-II: Express Briefs.2008,55(8):821-825 [3] Alex S P and Jalloul L M A. Performance evaluation ofMIMO in IEEE 80216e/WiMAX [J].. IEEE Journal ofSelected Topics in Signal Processing.2008, 2(2):181-190 [4] Rao R M, Lang S, and Daneshrad B. Field measurementswith a 525 GHz broadband MIMO-OFDM communicationsystem[J].. IEEE Transactions on Wireless Communications.2007, 6(8):2848-2859 [5] Andersen J B. Antenna arrays in mobile communications:gain, diversity and channel capacity [J]. IEEE Antenna andPropagation Magazine, 2000, 42(2): 12-16. [6] Choi J and Heath W R Jr. Interpolation based transmitbeamforming for MIMO-OFDM with limited feedback [J].IEEE Transactions on Signal Processing.2005, 53(11):4125-4135 [7] Pan Y, Letaief K B, and Cao Z. Dynamic spatial subchannelallocation with adaptive beamforming for MIMO/OFDMsystems [J].IEEE Transactions on Wireless Communications.2004, 3(6):2097-2017 [8] Pan Y and Asa S. Dynamic resource allocation withbeamforming for MIMO OFDM systems: performance andeffectcs of imperfect CSI [J]. IEEE Transactions on WirelessCommunications, 2007, 6(12): 4249-4255. [9] Love D J and Heath W R Jr. Granssmannian beamformingfor multiple-input multiple-output wireless systems [J].IEEETransactions on Information Theory.2003, 49(10):2735-2747 [10] Horn R A and Johnson C R. Matrix Analysis [M]. England:Cambridge University Press, 1987: 176. [11] Paulraj A, Nabar R, and Gore D. Introduction to Space-TimeWireless Communications [M]. UK, Cambridge Univ. Press,2003: 137-162. [12] Mller-Weinfutner S H. Coding approaches for multipleantenna transmission in fast fading and OFDM [J]. IEEETransaction on Signal Processing, 2002, 59(10): 2442-2450. [13] Poor H V and Verd?S. Probability of error in MMSEmultiuser detection [J].IEEE Transactions on InformationTheory.1997, 43(3):858-871 [14] 3rd Generation Partnership Project (3GPP) TS 25.212,Technical Specification Group Radio Access Network,Multiplexing and channel coding (FDD) (Release 8) V8.3.0[EB/OL], 2008-09. [15] Ster G L. Principles of Mobile Communication [M], 2nd ed.Norwell, MA: Kluwer, 2001: 90-98.
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出版历程
  • 收稿日期:  2008-11-27
  • 修回日期:  2009-08-24
  • 刊出日期:  2010-01-19

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