article · 2011
Performance of iterative decoding with imperfect MMSE DFE
Grace Oletu, Titus Eneh, Predrag Rapajic, Kwashie Anang
Cited by 1Abstract and details only
Abstract
The MMSE-DFE is a well established Intersymbol Interference (ISI) mitigating structure on linear, noisy, and dispersive channels. Time invariant communication channels exhibits ISI for severe frequency-selective channels. In this paper we investigate the iterative decoding with imperfect MMSE decision feedback equalizer using different modulation scheme. We assume that soft outputs from channel decoder are independent identically distributed Gaussian random variables with known mean and variance. The Imperfect MMSE DFE using different modulation outperforms other turbo equalization algorithms of similar computational complexity in terms of bit-error rate. The achieved improvement is up to 3dB for severe frequency-selective channels.
Cite this paper
Oletu, G., Eneh, T., Rapajic, P., & Anang, K. (2011). Performance of iterative decoding with imperfect MMSE DFE. https://doi.org/10.1109/wd.2011.6098137
Oletu, Grace, et al. “Performance of iterative decoding with imperfect MMSE DFE.” vol. 42, 2011, pp. 1–3, https://doi.org/10.1109/wd.2011.6098137.
Oletu, Grace, Titus Eneh, Predrag Rapajic, and Kwashie Anang. 2011. “Performance of iterative decoding with imperfect MMSE DFE.” https://doi.org/10.1109/wd.2011.6098137.
Oletu, G. et al. (2011) ‘Performance of iterative decoding with imperfect MMSE DFE’. Available at: https://doi.org/10.1109/wd.2011.6098137.
@article{oletu2011performance,
title = {{Performance of iterative decoding with imperfect MMSE DFE}},
author = {Oletu, Grace and Eneh, Titus and Rapajic, Predrag and Anang, Kwashie},
volume = {42},
pages = {1--3},
year = {2011},
doi = {10.1109/wd.2011.6098137}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.