用于盲接收的turbo均衡与迭代信道估计

李静; 彭华; 葛临东

doi:10.3724/SP.J.1146.2005.01464

用于盲接收的turbo均衡与迭代信道估计

doi: 10.3724/SP.J.1146.2005.01464

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出版历程
- 收稿日期: 2005-11-15
- 修回日期: 2006-07-07
- 刊出日期: 2007-08-19

Turbo Equalization and Iterative Channel Estimation for Blind Receiver

摘要

摘要: Turbo均衡是一种将信道均衡和差错控制译码联合迭代处理的均衡机制，与传统的均衡器相比，能在更低的信噪比条件下克服严重信道失真导致的符号间干扰(ISI)。该文提出一种用于盲接收的turbo均衡和迭代信道估计方案，不依赖于训练序列或发送符号的先验知识，采用初始盲均衡处理来启动迭代信道估计和turbo均衡。在该方案中，初始盲均衡算法的选择是十分关键的，它需要在恶劣的信道条件为后续迭代处理的启动提供足够的先验信息。该文根据turbo均衡的特点，选择了超指数算法作为初始盲均衡。仿真结果表明，该文提出的用于盲接收的turbo均衡方案是有效的。
- 盲接收;迭代处理;Turbo均衡;信道估计
Abstract: A turbo equalizer is able to overcome severe inter-symbol-interferences because it benefits from the channel decoding gain by iteratively performing equalization and channel decoding. This paper proposes a scheme of turbo equalization and iterative channel estimation for blind receiver. The scheme exploits a conventional blind equalizer to bootstrap the iterative process and thus is independent of training sequence and a priori information of the transmitted symbols. In such a scheme, the initial blind equalization algorithm is critical and should be able to provide enough information for the following turbo equalization and channel estimation even when channel distortion is severe. Based on analysis of characteristics of turbo equalization, the super exponential algorithm is chosen as the initial blind equalization. Simulation results illustrating performance of the proposed scheme are also given.

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Douillard C, Picart A, and Didier P, et al.. Iterative correction of intersymbol interference: Turbo-equalization[J].European Trans. on Telecommun.1995, 6(5):507-511[2]Tuchler M, Singer A C, and Kotter R. Minimum mean squared error equalization using a priori information[J].IEEE Trans. on Signal Processing.2002, 50(3):673-683[3]Laot C, Bidan R, and Leroux D. Low complexity MMSE turbo equalization: A possible solution for EDGE[J].IEEE Trans. on Wireless Communications.2005, 4(3):965-974[4]江森，孙洪，李坪. 一种新颖的用于Turbo均衡的均衡器. 通信学报, 2003, 24(12): 9-14.[5]Nefedov N and Pukkila M. Turbo equalization and iterative (turbo) estimation techniques for packet data transmission. Proc. 2nd Int. Symp. on Turbo Codes Related Topics, Brest, France, Sept. 2000: 423-426.[6]Visoz R, Berthet A O, and Saadani A, et al.. Turbo equalization and incremental redundancy for advanced TDMA systems [A]. IEEE VTC 2001, Rhodes Greece, May 2001: 1629-1633.[7]Song S, Singer A C, and Sung K M. Soft input channel estimation for turbo equalization[J].IEEE Trans. on Signal Processing.2004, 52(10):2885-2894[8]Otnes R and Tuchler M. Iterative channel estimation for turbo equalization of time-varying frequency-selective channels[J].IEEE Trans. on Wireless Communications.2004, 3(6):1918-1923[9]Wang X and Chen R. Blind turbo equalization in Gaussian and impulsive noise[J].IEEE Trans. on Vehicular Technology.2001, 50(4):1092-1105[10]李静，彭华，葛临东. 用于turbo均衡的MAP卷积译码算法. 军事通信技术, 2005, 26(3): 1-4.[11]Shalvi O and Weinstein E. Super-exponential methods for blind deconvolution[J].IEEE Trans. on Information Theory.1993, 39(2):504-519[12]Chi C Y.[J].Feng C C, and Chen C Y. Performance of Super- exponential algorithm for blind equalization[A]. IEEE VTC2000-Spring, Tokyo.2000,:-[13]Proakis J G. Digital Communications. New York: McMraw- Hill, 3rd edition, 1995: 616-617.

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