Turbo Equalization for Unknown Channels: A Semi-Blind Approach

We present a semi-blind approach to combined detection and turbo decoding for unknown ISI channels. The proposed method utilizes very few training symbols and minimizes the probability of ill-convergence characteristic of full-blind approaches, even for long ISI channels. Furthermore, the semi-blind...

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Bibliographic Details
Published in:Revista IEEE América Latina 2004-06, Vol.2 (2), p.100-107
Main Authors: Souza, R.D., Garcia-Frias, J., Uchoa-Filho, B.F.
Format: Article
Language:English
Subjects:
Baum-Welch algorithm
Bit error rate
Blinds
Channels
Computation
Decoding
Engineering profession
Equalization
Irrigation
ISI channels
Iterative decoding
Least squares approximation
Resonance light scattering
semi-blind estimation
Symbols
Training
turbo codes
turbo equalization
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Summary:We present a semi-blind approach to combined detection and turbo decoding for unknown ISI channels. The proposed method utilizes very few training symbols and minimizes the probability of ill-convergence characteristic of full-blind approaches, even for long ISI channels. Furthermore, the semi-blind approach leads to an improved bit error rate performance and a decrease in the overall computational burden when compared with full blind schemes. The reduction in computational complexity increases with the ISI channel length.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2004.1468627