Iterative Sequential OFDM Symbol Estimation Algorithm over Time-Frequency-Selective Fading Channels

Hoojin LEE; Joonhyuk KANG; Edward J. POWERS

doi:10.1093/ietcom/e89-b.6.1922

Iterative Sequential OFDM Symbol Estimation Algorithm over Time-Frequency-Selective Fading Channels

Hoojin LEE, Joonhyuk KANG, Edward J. POWERS

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Time-frequency-selective, i.e., time-variant multipath, fading in orthogonal frequency division multiplexing (OFDM) systems destroys subcarrier orthogonality, resulting in intercarrier interference (ICI). In general, the previously proposed estimation schemes to resolve this problem are only applicable to slowly time-variant channels or suffer from high complexity due to large-sized matrix inversion. In this letter, we propose and develop efficient symbol estimation schemes, called the iterative sequential neighbor search (ISNS) algorithm and the simplified iterative sequential neighbor search (S-ISNS) algorithm. These algorithms achieve enhanced performances with low complexities, compared to the existing estimation methods.

Publication: IEICE TRANSACTIONS on Communications Vol.E89-B No.6 pp.1922-1925

Publication Date: 2006/06/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e89-b.6.1922

Type of Manuscript: LETTER

Category: Wireless Communication Technologies

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Hoojin LEE, Joonhyuk KANG, Edward J. POWERS, "Iterative Sequential OFDM Symbol Estimation Algorithm over Time-Frequency-Selective Fading Channels" in IEICE TRANSACTIONS on Communications, vol. E89-B, no. 6, pp. 1922-1925, June 2006, doi: 10.1093/ietcom/e89-b.6.1922.
Abstract: Time-frequency-selective, i.e., time-variant multipath, fading in orthogonal frequency division multiplexing (OFDM) systems destroys subcarrier orthogonality, resulting in intercarrier interference (ICI). In general, the previously proposed estimation schemes to resolve this problem are only applicable to slowly time-variant channels or suffer from high complexity due to large-sized matrix inversion. In this letter, we propose and develop efficient symbol estimation schemes, called the iterative sequential neighbor search (ISNS) algorithm and the simplified iterative sequential neighbor search (S-ISNS) algorithm. These algorithms achieve enhanced performances with low complexities, compared to the existing estimation methods.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.6.1922/_p

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@ARTICLE{e89-b_6_1922,
author={Hoojin LEE, Joonhyuk KANG, Edward J. POWERS, },
journal={IEICE TRANSACTIONS on Communications},
title={Iterative Sequential OFDM Symbol Estimation Algorithm over Time-Frequency-Selective Fading Channels},
year={2006},
volume={E89-B},
number={6},
pages={1922-1925},
abstract={Time-frequency-selective, i.e., time-variant multipath, fading in orthogonal frequency division multiplexing (OFDM) systems destroys subcarrier orthogonality, resulting in intercarrier interference (ICI). In general, the previously proposed estimation schemes to resolve this problem are only applicable to slowly time-variant channels or suffer from high complexity due to large-sized matrix inversion. In this letter, we propose and develop efficient symbol estimation schemes, called the iterative sequential neighbor search (ISNS) algorithm and the simplified iterative sequential neighbor search (S-ISNS) algorithm. These algorithms achieve enhanced performances with low complexities, compared to the existing estimation methods.},
keywords={},
doi={10.1093/ietcom/e89-b.6.1922},
ISSN={1745-1345},
month={June},}

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TY - JOUR
TI - Iterative Sequential OFDM Symbol Estimation Algorithm over Time-Frequency-Selective Fading Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 1922
EP - 1925
AU - Hoojin LEE
AU - Joonhyuk KANG
AU - Edward J. POWERS
PY - 2006
DO - 10.1093/ietcom/e89-b.6.1922
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2006
AB - Time-frequency-selective, i.e., time-variant multipath, fading in orthogonal frequency division multiplexing (OFDM) systems destroys subcarrier orthogonality, resulting in intercarrier interference (ICI). In general, the previously proposed estimation schemes to resolve this problem are only applicable to slowly time-variant channels or suffer from high complexity due to large-sized matrix inversion. In this letter, we propose and develop efficient symbol estimation schemes, called the iterative sequential neighbor search (ISNS) algorithm and the simplified iterative sequential neighbor search (S-ISNS) algorithm. These algorithms achieve enhanced performances with low complexities, compared to the existing estimation methods.
ER -