@inproceedings{78e5a0dab29049338c20642b9206c5fa,
title = "Joint channel tracking and MAP detection for OFDMA systems in fading channels",
abstract = "In this research, we present a joint channel tracking and maximal a posteriori (MAP) symbol detection method for orthogonal frequency division multiple access (OFDMA) systems in time-varying fading channels. In contrast to some existing joint estimation and detection schemes that perform channel tracking in time-domain, we propose an algorithm that do both channel tracking and symbol detection in frequency domain, thus preventing the performance degradation due to the multiple access interference present in the time domain channel estimation. In conjunction with appropriate frequency allocation for each user, it is shown that a lowcomplexity algorithm can be obtained and, in the mean time, provides good performance in channel tracking.",
keywords = "EM, Joint estimation and detection, MAP, OFDM, OFDMA",
author = "Sau-Hsuan Wu and Lee, {Shuenn Gi} and Lai, {Kuei Chiang}",
year = "2007",
month = aug,
day = "6",
doi = "10.1109/ICASSP.2007.366532",
language = "English",
isbn = "1424407281",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
booktitle = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07",
note = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 ; Conference date: 15-04-2007 Through 20-04-2007",
}