Joint channel estimation and coding for robust progressive image transmissions in fading multipath wireless channels

Xiaowen Wang; Jie Song; Kuo Juey Ray Liu

doi:10.1117/12.448685

20 November 2001 Joint channel estimation and coding for robust progressive image transmissions in fading multipath wireless channels

Xiaowen Wang, Jie Song, Kuo Juey Ray Liu

Author Affiliations +

Proceedings Volume 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI; (2001) https://doi.org/10.1117/12.448685
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

Multicarrier modulation (MCM) with diversity is a promising technique for multimedia communications over fading multipath wireless channels. In this work, we first investigate the channel estimation problem for the MCM system with multiple transmitter antennas. A model based channel estimation approach is proposed to identify the multiple channels simultaneously. We then apply the model based channel estimation in a joint source and channel matching (JSCM) scheme for the robust progressive image transmission. It is shown that the channel estimation affects not only the image decoding at the receiver but also the rate allocation at the transmitter. It is important to jointly consider the channel estimation and JSCM scheme to improve the quality of image transmission.

Citation Download Citation

Xiaowen Wang, Jie Song, and Kuo Juey Ray Liu "Joint channel estimation and coding for robust progressive image transmissions in fading multipath wireless channels", Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); https://doi.org/10.1117/12.448685

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