Recursive Channel Estimation Based on Finite Parameter Model Using Reduced-Complexity Maximum Likelihood Equalizer for OFDM over Doubly-Selective Channels
Summary :
To take intercarrier interference (ICI) attributed to time variations of the channel into consideration, the time- and frequency-selective (doubly-selective) channel is parameterized by a finite parameter model. By capitalizing on the finite parameter model to approximate the doubly-selective channel, a Kalman filter is developed for channel estimation. The ICI suppressing, reduced-complexity Viterbi-type Maximum Likelihood (RML) equalizer is incorporated into the Kalman filter for recursive channel tracking and equalization to improve the system performance. An enhancement in the channel tracking ability is validated by theoretical analysis, and a significant improvement in BER performance using the channel estimates obtained by the recursive channel estimation method is verified by Monte-Carlo simulations.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.11 pp.3076-3084
- Publication Date
- 2005/11/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.11.3076
- Type of Manuscript
- Special Section PAPER (Special Section on Wide Band Systems)
- Category
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Kok Ann Donny TEO, Shuichi OHNO, Takao HINAMOTO, "Recursive Channel Estimation Based on Finite Parameter Model Using Reduced-Complexity Maximum Likelihood Equalizer for OFDM over Doubly-Selective Channels" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 11, pp. 3076-3084, November 2005, doi: 10.1093/ietfec/e88-a.11.3076.
Abstract: To take intercarrier interference (ICI) attributed to time variations of the channel into consideration, the time- and frequency-selective (doubly-selective) channel is parameterized by a finite parameter model. By capitalizing on the finite parameter model to approximate the doubly-selective channel, a Kalman filter is developed for channel estimation. The ICI suppressing, reduced-complexity Viterbi-type Maximum Likelihood (RML) equalizer is incorporated into the Kalman filter for recursive channel tracking and equalization to improve the system performance. An enhancement in the channel tracking ability is validated by theoretical analysis, and a significant improvement in BER performance using the channel estimates obtained by the recursive channel estimation method is verified by Monte-Carlo simulations.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.11.3076/_p
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@ARTICLE{e88-a_11_3076,
author={Kok Ann Donny TEO, Shuichi OHNO, Takao HINAMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Recursive Channel Estimation Based on Finite Parameter Model Using Reduced-Complexity Maximum Likelihood Equalizer for OFDM over Doubly-Selective Channels},
year={2005},
volume={E88-A},
number={11},
pages={3076-3084},
abstract={To take intercarrier interference (ICI) attributed to time variations of the channel into consideration, the time- and frequency-selective (doubly-selective) channel is parameterized by a finite parameter model. By capitalizing on the finite parameter model to approximate the doubly-selective channel, a Kalman filter is developed for channel estimation. The ICI suppressing, reduced-complexity Viterbi-type Maximum Likelihood (RML) equalizer is incorporated into the Kalman filter for recursive channel tracking and equalization to improve the system performance. An enhancement in the channel tracking ability is validated by theoretical analysis, and a significant improvement in BER performance using the channel estimates obtained by the recursive channel estimation method is verified by Monte-Carlo simulations.},
keywords={},
doi={10.1093/ietfec/e88-a.11.3076},
ISSN={},
month={November},}
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TY - JOUR
TI - Recursive Channel Estimation Based on Finite Parameter Model Using Reduced-Complexity Maximum Likelihood Equalizer for OFDM over Doubly-Selective Channels
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3076
EP - 3084
AU - Kok Ann Donny TEO
AU - Shuichi OHNO
AU - Takao HINAMOTO
PY - 2005
DO - 10.1093/ietfec/e88-a.11.3076
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2005
AB - To take intercarrier interference (ICI) attributed to time variations of the channel into consideration, the time- and frequency-selective (doubly-selective) channel is parameterized by a finite parameter model. By capitalizing on the finite parameter model to approximate the doubly-selective channel, a Kalman filter is developed for channel estimation. The ICI suppressing, reduced-complexity Viterbi-type Maximum Likelihood (RML) equalizer is incorporated into the Kalman filter for recursive channel tracking and equalization to improve the system performance. An enhancement in the channel tracking ability is validated by theoretical analysis, and a significant improvement in BER performance using the channel estimates obtained by the recursive channel estimation method is verified by Monte-Carlo simulations.
ER -
English
