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训练序列的插入方式与估计算法研究
作者:张春阳,陈金秀,王有政
来源:本站原创
更新时间:2014-1-16 10:02:00
正文:

                                (信息科学与技术国家实验室,清华大学 北京100084)

摘要:针对时变信道环境,本文研究了训练序列的插入方式和信道估计算法。我们分析了时分复用训练序列和叠加训练序列两种方式,研究了它们各自的特点和适用环境,并基于维纳滤波和卡尔曼滤波研究了相应的信道估计算法;最后搭建了基于两种训练序列的信道估计仿真平台,比较了两种不同的训练序列的性能。仿真结果表明,在多普勒频移较大或者信噪比较低(<5dB)的情况下,叠加训练序列的性能要优于时分复用训练序列的性能。
关键词:叠加训练序列;时分复用训练序列;信道估计
中图分类号:□□□□□        文献标识码:A        文章编号:

                                     Study on Pilot Scheme and Channel Estimation
                                        ZHANG Chun-yang, CHEN Jin-Xiu, WANG You-zheng
  (Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University,
Beijing 100084, P. R. China. Correspondence Address: WANG You-zheng: yzhwang@tsinghua.edu.cn)
Abstract:The pilot scheme and channel estimation alogorithms are studied for the timing-varing fading channel. Here, we focus on two kinds of pilot insertion schemes, known as the time multiplexing sequence and superimposed sequence, and make comparison on between them. The channel estimation alogirthms based on Wiener filter and Kalman filter are also analyzed for them. We built the simulatio platform to evaluate them. Simulation results show that the superimposed sequence is more suitable for bigger Doppler shift cases and lower signal to noise ratio environment than the time multiplexing sequence.
Key words:Time multiplexing;Superimposed Sequence; Kalman filter; Channel estimation

 

 

  
参考文献 (References)
[1] Adireddy S., Tong L., and Viswanathan H., “Optimal placement of known symbols for frequency-selective block- fading channels,” IEEE Trans. Info. Theory, vol. 48, pp. 2338–2353, August 2002.
[2] L Tong, B Sadler, M Dong. Pilot-assisted wireless transmissions: General model, design criteria, and signal processing. IEEE Signal Processing Magazine, 2004,21(6):12-25
[3] F. Mazzenga, “Channel estimation and equalization for M-QAM transmission with a hidden pilot sequence,” IEEE Trans. on Broadcasting, vol. 46, p. 170176, June 2000
[4] C. Budianu and L. Tong, “Channel Estimation for Space-Time Block Coding Systems,” IEEE Trans. Signal Processing, vol. 50, pp. 2515–2528, Oct 2002
[5] Tugnait J. K.  and Luo W., On channel estimation using superimposed training and first-order statistics.  in Proceedings of ICASSP '03, vol. 4, pp. 624-627, Hong Kong, April 2003

 
作者简介:
  张春阳(1987-),男,硕士研究生,研究方向为信道估计,无线网络技术。
  陈金秀(1989-),女,硕士研究生,研究方向为自适应传输技术。
  王有政(1969-),男,副研究员,研究方向为卫星通信、卫星广播和空间信息网络。

 
 
   
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