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最优信道质量预测算法的研究和实现 被引量：5

Study and realization of optimum channel prediction algorithm
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摘要 首先分析了基于MMSE准则的最优信道预测算法,通过数值结果分析了采样时间和多普勒频移的乘积对其性能的影响,并分析了信道估计误差对该算法的影响,介于该最优算法需要计算矩阵的逆,其复杂度太高,本文还提出了一种迭代算法对信道进行预测,仿真结果表明其算法是逼近于MMSE的性能的,且复杂度也比较小。 In this paper optimum channel prediction algorithm is proposed based on MMSE criteria. Analysis results indicate the effect of the multiplication of sampling time and Doppler frequency shift. And the influence of channel estimation error is also analyzed. Due to the high complexity of MMSE algorithm, an iteration algorithm is proposed to predict the channel quality. Simulation results show that the algorithm can get similar performance with MMSE algorithm with low complexity.
作者 方昕 颜永庆 尤肖虎
机构地区 东南大学移动通信国家重点实验室
出处 《通信学报》 EI CSCD 北大核心 2004年第5期93-100,共8页 Journal on Communications
基金 韩国电信研究院(ETRI)基金资助项目(8604001016) 新一代蜂窝移动通信系统无线传输链路技术研究基金资助项目(2001AA123015)
关键词 最优预测算法 衰落信道 迭代算法 optimum prediction algorithm fading channels iterative algorithm
分类号 TN929.533 [电子电信—通信与信息系统]
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参考文献8

  • 1EYCEOZ T, HU S, DUEE H A, HALLEN H. Adaptive prediction, tracking and power adjustment for frequency non-selective fast fading channels [A]. Communication Theory Mini-Conference[C]. 1999. 1-5.
  • 2DUEL H A, SHENG Q H, HALLEN H. Long-range prediction of fading signals[J]. IEEE Signal Processing Magazine, 2000, 17(3):62-75.
  • 3EYCEOZ T, DUEL H A, HALLEN H. Deterministic channel modeling and long range prediction of fast fading mobile radio channels[J]. IEEE Communications Letters, 1998, 2(9): 254-256.
  • 4ZHOU X B, ZHAO Y X, ZHUANG X H. Kalman filter channel tracking algorithm based on AR model in WCDMA systems[A].Signal Processing Proceedings, WCCC-ICSP 2000[C]. 2000. 1759-1762.
  • 5XUE Y S, ZHU X L. Optimum wireless channel tracking based on second-order LMS algorithm[J]. Electronics Letters, 2001, 37(15):989-990.
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同被引文献30

  • 1Cimini Jr L J.Analysis and simulation of digital mobile channel using orthogonal frequency-division multiplex[J].IEEE Trans Comm,1985,33(7):665-675.
  • 2Benvenuto N,Sostrato G.Joint detection with low computational complexity for hybrid TD-CDMA systems[J].IEEE Journal on Selected Areas in Comm,2001:245-253.
  • 3Arunabha G,et al.Broadband wireless access with WiMax/802.16:current performance benchmarks and future potential[J].IEEE Communieatiou Magazine,2005,43(2):129-136.
  • 4IEEE 802.16-2004,IEEE standard for local and metropolitan area networks.Part 16:Air interface for fixed broadband wireless access vsystems[S].October 2004.
  • 5IEEE 802.16 standard for local and metropolitan area networks.Part 16:Air interface for fixed and mobile broadband wireless access systems[S].2005.
  • 6W C Jakes.Microwave Mobile Communi-cations[M].NewYork:Wiley-Interscience,1974.
  • 7A H Duel,H Q Sheng,H Hallen.Long-range prediction of fading signals[J].IEEE Signal Processing Magazine,2000,17(3):62-75.
  • 8T Eyceoz,A H Duel,H Hallen.Deterministic channel modeling and long range prediction of fast fading mobile radio channels[J].IEEE Communication Letters,1998,2(9):254-256.
  • 9J B Andersen,J Jensen,S H Jensen and F Frederiksen.Prediction of future fading based on past measurements[C].Proc.IEE.Veh Technol.Conf,VTC,99,Sept.1999.
  • 10T Eyceoz,A Duel-Hallen and H Hallen.Prediction of Fast Fading Parameters by Resolving the Interference Pattern[C].Proceeding of the 31st ASLOMAR Conference on Signals Systems and computers,November2-5,1998.167-171.

引证文献5

二级引证文献1

通信学报
2004年 第5期

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