@inproceedings{96fdd340b00e4086ad2a6fa8395252ad,
title = "A new adaptive turbo equalizer with soft information classification",
abstract = "Linear turbo equalizers with/without channel estimation have been exploited due to their good performance with low complexity compared to a maximuma posteriori (MAP) turbo equalizer. Much work has focused on channel estimate-based minimum mean square error (MMSE) turbo equalizers. However, an MMSE turbo equalizer still requires higher complexity than an adaptive turbo equalizer such as with a normalized least mean square (NLMS) turbo equalizer. Even if adaptive turbo equalizers converge, there is often a performance loss compared to an MMSE turbo equalizer because the adaptive turbo equalizers treat soft decision data as stationary. In order to reduce this loss, we propose a new adaptive turbo equalizer that uses the soft decision data to switch among a set of K different equalizers to approximate the time varying MMSE behavior. Simulations show that the proposed switching-based NLMS turbo equalizer has better bit error rate (BER) performance than a conventional NLMS turbo equalizer by as much as 0.6dB.",
keywords = "Adaptive filters, Classification, MMSE, NLMS, Turbo equalization",
author = "Kyeongyeon Kim and Choi, {Jun Won} and Singer, {Andrew C.} and Kyungtae Kim",
year = "2010",
doi = "10.1109/ICASSP.2010.5496061",
language = "English (US)",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3206--3209",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
address = "United States",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}