Proceedings Article10.1109/ICC.2003.1204603
On iterative equalization, estimation, and decoding
R. Otnes,M. Tuchler +1 more
- 11 May 2003
- Vol. 4, pp 2958-2962
23
TL;DR: It is shown that the performance loss implied by not knowing the parameters pf the ISI channel is entirely a loss in signal-to-noise ratio for which a suitably designed iterative receiver algorithm converges.
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Abstract: We consider the problem of coded data transmission over an inter-symbol interference (ISI) channel with unknown and possibly time-varying parameters. We propose a low-complexity algorithm for joint equalization, estimation, and decoding using an estimator, which is separate from the equalizer. Based on existing techniques for analyzing the convergence of iterative decoding algorithms, we show how to find powerful system configurations. This includes the use of recursive precoders in the transmitter. We derive a novel a-posteriori probability equalization algorithm for imprecise knowledge of the channel parameters. We show that the performance loss implied by not knowing the parameters pf the ISI channel is entirely a loss in signal-to-noise ratio for which a suitably designed iterative receiver algorithm converges.
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Comparison of EM-Based Algorithms for MIMO Channel Estimation
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Turbo detection for MIMO systems: bit labeling and pre‐coding
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Turbo-Detection in MIMO Systems: Bit Labeling and Pre-Coding
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TL;DR: In this article, symbol-by-symbol Gray labeling and differential pre-coding are used for bit-interleaved coded modulation with iterative detection for multi-input multi-output (MIMO) systems.
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