Maximum likelihood channel estimation and signal detection for OFDM systems

by: Pei Chen, H Kobayashi

Communications, 2002. ICC 2002. IEEE International Conference on, Vol. 3 (2002), pp. 1640-1645 vol.3.

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Abstract

We apply joint maximum likelihood (ML) estimation to orthogonal frequency division multiplexing (OFDM) systems and develop a simple receiver structure that gives joint ML estimates of a multipath channel and the transmitted data sequence. Simulation results have confirmed good performance of our algorithm. For a two-path or three-path slow fading channel, our algorithm converges to the case with known channel parameters.

@inproceedings{citeulike:2483553, abstract = {We apply joint maximum likelihood (ML) estimation to orthogonal frequency division multiplexing (OFDM) systems and develop a simple receiver structure that gives joint ML estimates of a multipath channel and the transmitted data sequence. Simulation results have confirmed good performance of our algorithm. For a two-path or three-path slow fading channel, our algorithm converges to the case with known channel parameters.}, author = {Chen, Pei and Kobayashi, H. }, booktitle = {Communications, 2002. ICC 2002. IEEE International Conference on}, citeulike-article-id = {2483553}, doi = {10.1109/ICC.2002.997127}, journal = {Communications, 2002. ICC 2002. IEEE International Conference on}, keywords = {channel, detection, estimation, ml, ofdm, signal}, pages = {1640--1645 vol.3}, posted-at = {2008-03-07 11:07:59}, priority = {2}, title = {Maximum likelihood channel estimation and signal detection for OFDM systems}, url = {http://dx.doi.org/10.1109/ICC.2002.997127}, volume = {3}, year = {2002} }

RIS record

TY - CONF ID - citeulike:2483553 L3 - citeulike-article-id:2483553 TI - Maximum likelihood channel estimation and signal detection for OFDM systems T2 - Communications, 2002. ICC 2002. IEEE International Conference on JF - Communications, 2002. ICC 2002. IEEE International Conference on VL - 3 SP - 1640 EP - 1645 vol.3 N2 - We apply joint maximum likelihood (ML) estimation to orthogonal frequency division multiplexing (OFDM) systems and develop a simple receiver structure that gives joint ML estimates of a multipath channel and the transmitted data sequence. Simulation results have confirmed good performance of our algorithm. For a two-path or three-path slow fading channel, our algorithm converges to the case with known channel parameters. KW - channel KW - detection KW - estimation KW - ml KW - ofdm KW - signal AU - Chen, Pei AU - Kobayashi, H PY - 2002/// UR - http://dx.doi.org/10.1109/ICC.2002.997127 ER -

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