Adaptive Linear Symbol Detection for OFDM Systems in Time-Frequency-Selective Fading Channels

Hoojin LEE; Joonhyuk KANG; Edward J. POWERS

doi:10.1093/ietcom/e90-b.3.685

Adaptive Linear Symbol Detection for OFDM Systems in Time-Frequency-Selective Fading Channels

Hoojin LEE, Joonhyuk KANG, Edward J. POWERS

Full Text Views

0

Share
Cite this

Summary :

Time-frequency-selective, equivalently time-variant multipath, fading channels in orthogonal frequency division multiplexing (OFDM) systems introduce intercarrier interference (ICI), resulting in severe performance degradation. To suppress the effect of ICI, several symbol detection methods have been proposed, all of which are based on the observation that most of the ICI's power is distributed near the desired subcarrier. However, these methods usually ignore the channel variation in a OFDM symbol block by fixing the number of considered ICI terms. Therefore, we propose a novel frequency-domain symbol detection method with moderate complexity, which adaptively determines the number of ICI terms within each OFDM symbol block.

Publication: IEICE TRANSACTIONS on Communications Vol.E90-B No.3 pp.685-688

Publication Date: 2007/03/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e90-b.3.685

Type of Manuscript: LETTER

Category: Wireless Communication Technologies

Cite this

Copy

Hoojin LEE, Joonhyuk KANG, Edward J. POWERS, "Adaptive Linear Symbol Detection for OFDM Systems in Time-Frequency-Selective Fading Channels" in IEICE TRANSACTIONS on Communications, vol. E90-B, no. 3, pp. 685-688, March 2007, doi: 10.1093/ietcom/e90-b.3.685.
Abstract: Time-frequency-selective, equivalently time-variant multipath, fading channels in orthogonal frequency division multiplexing (OFDM) systems introduce intercarrier interference (ICI), resulting in severe performance degradation. To suppress the effect of ICI, several symbol detection methods have been proposed, all of which are based on the observation that most of the ICI's power is distributed near the desired subcarrier. However, these methods usually ignore the channel variation in a OFDM symbol block by fixing the number of considered ICI terms. Therefore, we propose a novel frequency-domain symbol detection method with moderate complexity, which adaptively determines the number of ICI terms within each OFDM symbol block.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.3.685/_p

Copy

@ARTICLE{e90-b_3_685,
author={Hoojin LEE, Joonhyuk KANG, Edward J. POWERS, },
journal={IEICE TRANSACTIONS on Communications},
title={Adaptive Linear Symbol Detection for OFDM Systems in Time-Frequency-Selective Fading Channels},
year={2007},
volume={E90-B},
number={3},
pages={685-688},
abstract={Time-frequency-selective, equivalently time-variant multipath, fading channels in orthogonal frequency division multiplexing (OFDM) systems introduce intercarrier interference (ICI), resulting in severe performance degradation. To suppress the effect of ICI, several symbol detection methods have been proposed, all of which are based on the observation that most of the ICI's power is distributed near the desired subcarrier. However, these methods usually ignore the channel variation in a OFDM symbol block by fixing the number of considered ICI terms. Therefore, we propose a novel frequency-domain symbol detection method with moderate complexity, which adaptively determines the number of ICI terms within each OFDM symbol block.},
keywords={},
doi={10.1093/ietcom/e90-b.3.685},
ISSN={1745-1345},
month={March},}

Copy

TY - JOUR
TI - Adaptive Linear Symbol Detection for OFDM Systems in Time-Frequency-Selective Fading Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 685
EP - 688
AU - Hoojin LEE
AU - Joonhyuk KANG
AU - Edward J. POWERS
PY - 2007
DO - 10.1093/ietcom/e90-b.3.685
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2007
AB - Time-frequency-selective, equivalently time-variant multipath, fading channels in orthogonal frequency division multiplexing (OFDM) systems introduce intercarrier interference (ICI), resulting in severe performance degradation. To suppress the effect of ICI, several symbol detection methods have been proposed, all of which are based on the observation that most of the ICI's power is distributed near the desired subcarrier. However, these methods usually ignore the channel variation in a OFDM symbol block by fixing the number of considered ICI terms. Therefore, we propose a novel frequency-domain symbol detection method with moderate complexity, which adaptively determines the number of ICI terms within each OFDM symbol block.
ER -