Iterative QRM-MLD with Pilot-Assisted Decision Directed Channel Estimation for OFDM MIMO Multiplexing

Koichi ADACHI; Riaz ESMAILZADEH; Masao NAKAGAWA

doi:10.1093/ietfec/e89-a.7.1892

Iterative QRM-MLD with Pilot-Assisted Decision Directed Channel Estimation for OFDM MIMO Multiplexing

Koichi ADACHI, Riaz ESMAILZADEH, Masao NAKAGAWA

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Multiple-input multiple-output (MIMO) multiplexing has recently been attracting considerable attention for increasing the transmission rate in a limited bandwidth. In MIMO multiplexing, the signals transmitted simultaneously from different transmit antennas must be separated and detected at a receiver. Maximum likelihood detection with QR-decomposition and M-algorithm (QRM-MLD) can achieve good performance while keeping computational complexity low. However, when the number of surviving symbol replica candidates in the M-algorithm is set to be small, the performance of QRM-MLD degrades compared to that of MLD because of wrong selection of surviving symbol replica candidates. Furthermore, when channel estimation is inaccurate, accurate signal ranking and QR-decomposition cannot be carried out. In this paper, we propose an iterative QRM-MLD with decision directed channel estimation to improve the packet error rate (PER) performance. In the proposed QRM-MLD, decision feedback data symbols are also used for channel estimation in addition to pilot symbols in order to improve the channel estimation accuracy. Signal detection/channel estimation are then carried out in an iterative fashion. Computer simulation results show that the proposed QRM-MLD reduces the required average received E_b/N₀ for PER of 10^-2 by about 1.2 dB compared to the conventional method using orthogonal pilot symbols only.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.7 pp.1892-1902

Publication Date: 2006/07/01

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Online ISSN: 1745-1337

DOI: 10.1093/ietfec/e89-a.7.1892

Type of Manuscript: Special Section PAPER (Special Section on Multi-dimensional Mobile Information Networks)

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Koichi ADACHI, Riaz ESMAILZADEH, Masao NAKAGAWA, "Iterative QRM-MLD with Pilot-Assisted Decision Directed Channel Estimation for OFDM MIMO Multiplexing" in IEICE TRANSACTIONS on Fundamentals, vol. E89-A, no. 7, pp. 1892-1902, July 2006, doi: 10.1093/ietfec/e89-a.7.1892.
Abstract: Multiple-input multiple-output (MIMO) multiplexing has recently been attracting considerable attention for increasing the transmission rate in a limited bandwidth. In MIMO multiplexing, the signals transmitted simultaneously from different transmit antennas must be separated and detected at a receiver. Maximum likelihood detection with QR-decomposition and M-algorithm (QRM-MLD) can achieve good performance while keeping computational complexity low. However, when the number of surviving symbol replica candidates in the M-algorithm is set to be small, the performance of QRM-MLD degrades compared to that of MLD because of wrong selection of surviving symbol replica candidates. Furthermore, when channel estimation is inaccurate, accurate signal ranking and QR-decomposition cannot be carried out. In this paper, we propose an iterative QRM-MLD with decision directed channel estimation to improve the packet error rate (PER) performance. In the proposed QRM-MLD, decision feedback data symbols are also used for channel estimation in addition to pilot symbols in order to improve the channel estimation accuracy. Signal detection/channel estimation are then carried out in an iterative fashion. Computer simulation results show that the proposed QRM-MLD reduces the required average received E_b/N₀ for PER of 10^-2 by about 1.2 dB compared to the conventional method using orthogonal pilot symbols only.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.7.1892/_p

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@ARTICLE{e89-a_7_1892,
author={Koichi ADACHI, Riaz ESMAILZADEH, Masao NAKAGAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Iterative QRM-MLD with Pilot-Assisted Decision Directed Channel Estimation for OFDM MIMO Multiplexing},
year={2006},
volume={E89-A},
number={7},
pages={1892-1902},
abstract={Multiple-input multiple-output (MIMO) multiplexing has recently been attracting considerable attention for increasing the transmission rate in a limited bandwidth. In MIMO multiplexing, the signals transmitted simultaneously from different transmit antennas must be separated and detected at a receiver. Maximum likelihood detection with QR-decomposition and M-algorithm (QRM-MLD) can achieve good performance while keeping computational complexity low. However, when the number of surviving symbol replica candidates in the M-algorithm is set to be small, the performance of QRM-MLD degrades compared to that of MLD because of wrong selection of surviving symbol replica candidates. Furthermore, when channel estimation is inaccurate, accurate signal ranking and QR-decomposition cannot be carried out. In this paper, we propose an iterative QRM-MLD with decision directed channel estimation to improve the packet error rate (PER) performance. In the proposed QRM-MLD, decision feedback data symbols are also used for channel estimation in addition to pilot symbols in order to improve the channel estimation accuracy. Signal detection/channel estimation are then carried out in an iterative fashion. Computer simulation results show that the proposed QRM-MLD reduces the required average received E_b/N₀ for PER of 10^-2 by about 1.2 dB compared to the conventional method using orthogonal pilot symbols only.},
keywords={},
doi={10.1093/ietfec/e89-a.7.1892},
ISSN={1745-1337},
month={July},}

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TY - JOUR
TI - Iterative QRM-MLD with Pilot-Assisted Decision Directed Channel Estimation for OFDM MIMO Multiplexing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1892
EP - 1902
AU - Koichi ADACHI
AU - Riaz ESMAILZADEH
AU - Masao NAKAGAWA
PY - 2006
DO - 10.1093/ietfec/e89-a.7.1892
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2006
AB - Multiple-input multiple-output (MIMO) multiplexing has recently been attracting considerable attention for increasing the transmission rate in a limited bandwidth. In MIMO multiplexing, the signals transmitted simultaneously from different transmit antennas must be separated and detected at a receiver. Maximum likelihood detection with QR-decomposition and M-algorithm (QRM-MLD) can achieve good performance while keeping computational complexity low. However, when the number of surviving symbol replica candidates in the M-algorithm is set to be small, the performance of QRM-MLD degrades compared to that of MLD because of wrong selection of surviving symbol replica candidates. Furthermore, when channel estimation is inaccurate, accurate signal ranking and QR-decomposition cannot be carried out. In this paper, we propose an iterative QRM-MLD with decision directed channel estimation to improve the packet error rate (PER) performance. In the proposed QRM-MLD, decision feedback data symbols are also used for channel estimation in addition to pilot symbols in order to improve the channel estimation accuracy. Signal detection/channel estimation are then carried out in an iterative fashion. Computer simulation results show that the proposed QRM-MLD reduces the required average received E_b/N₀ for PER of 10^-2 by about 1.2 dB compared to the conventional method using orthogonal pilot symbols only.
ER -