Open Access Research Article

Transmit Delay Structure Design for Blind Channel Estimation over Multipath Channels

Tongtong Li1*, Qi Ling1 and Zhi Ding2

Author Affiliations

1 Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA

2 Department of Electrical and Computer Engineering, University of California, Davis, CA 95616, USA

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EURASIP Journal on Wireless Communications and Networking 2007, 2007:026123  doi:10.1155/2007/26123


The electronic version of this article is the complete one and can be found online at: http://jwcn.eurasipjournals.com/content/2007/1/026123


Received:20 April 2006
Revisions received:16 October 2006
Accepted:11 February 2007
Published:19 April 2007

© 2007 Li et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Wireless communications often exploit guard intervals between data blocks to reduce interblock interference in frequency-selective fading channels. Here we propose a dual-branch transmission scheme that utilizes guard intervals for blind channel estimation and equalization. Unlike existing transmit diversity schemes, in which different antennas transmit delayed, zero-padded, or time-reversed versions of the same signal, in the proposed transmission scheme, each antenna transmits an independent data stream. It is shown that for systems with two transmit antennas and one receive antenna, as in the case of one transmit antenna and two receive antennas, blind channel estimation and equalization can be carried out based only on the second-order statistics of symbol-rate sampled channel output. The proposed approach involves no preequalization and has no limitations on channel-zero locations. Moreover, extension of the proposed scheme to systems with multiple receive antennas and/or more than two transmit antennas is discussed. It is also shown that in combination with the threaded layered space-time (TST) architecture and turbo coding, significant improvement can be achieved in the overall system performance.

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