Pilot-aided multipath delay spread approximation for MMSE channel estimation in OFDM systems

Minimum mean square error (MMSE) channel estimation in OFDM systems requires knowledge on channel correlation function. For systems with a small number of pilots operating in time-varying channels, however, information on channel correlation is difficult to acquire. In this paper, instead of estimat...

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Bibliographic Details
Published inIEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS pp. 1488 - 1491
Main Authors Hsiao-Lan Chiang, Ping-Heng Kuo, Pang-An Ting, Wen Shih
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Channel estimation
Channel models
Correlation
Delay
Estimation
IEEE 802.16m
multipath delay spread
OFDM
Orthogonal frequency division multiplexing
Wiener filter
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Summary:Minimum mean square error (MMSE) channel estimation in OFDM systems requires knowledge on channel correlation function. For systems with a small number of pilots operating in time-varying channels, however, information on channel correlation is difficult to acquire. In this paper, instead of estimating power-delay profile (PDP) with one of the three delay spread parameters: mean delay, root-mean-square (RMS) delay, and maximum delay spread, we propose an efficient method to approximate the multipath delay spread by the curvature of channel's amplitude, which is then used to generate the Wiener filter coefficients for data subcarriers channel estimation. The proposed technique could be applied to many prevailing wireless communication standards, and the performance of our proposal is investigated via simulations based on IEEE 802.16m packet structure.
ISBN:9781424458974
1424458978
ISSN:2164-5221
DOI:10.1109/ICOSP.2010.5656678