Channel Estimation and Signal Detection for Space Division Multiplexing in a MIMO-OFDM System

Yasutaka OGAWA; Keisuke NISHIO; Toshihiko NISHIMURA; Takeo OHGANE

doi:10.1093/ietcom/e88-b.1.10

Channel Estimation and Signal Detection for Space Division Multiplexing in a MIMO-OFDM System

Yasutaka OGAWA, Keisuke NISHIO, Toshihiko NISHIMURA, Takeo OHGANE

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We consider space division multiplexing in a MIMO-OFDM system for high data rate transmission. Channel estimation is very important for suppressing interference and demultiplexing signals. In a wireless LAN system such as IEEE 802.11a, only a few training symbols are inserted in each subcarrier. First, we propose a channel estimation method for a MIMO-OFDM system with two training symbols per subcarrier. The basic idea is to estimate the time-domain channel responses between the transmit and receive antennas. The array response vectors for each subcarrier are calculated by applying a fast Fourier transform to them. We then can obtain the adaptive weights to cancel the interference. We show that employing training symbols having a lower condition number of the matrix used for the channel estimation improves the estimation accuracy. Furthermore, we show the bit error rate for several signal detection schemes using the above estimated channel. It is shown that an ordered successive detection based on an MMSE criterion has excellent performance, that is, it can achieve higher-speed transmissions with a lower transmit power.

Publication: IEICE TRANSACTIONS on Communications Vol.E88-B No.1 pp.10-18

Publication Date: 2005/01/01

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DOI: 10.1093/ietcom/e88-b.1.10

Type of Manuscript: Special Section PAPER (Special Section on Multi-carrier Signal Processing Techniques for Next Generation Mobile Communications--Part 1)

Category: MIMO

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Yasutaka OGAWA, Keisuke NISHIO, Toshihiko NISHIMURA, Takeo OHGANE, "Channel Estimation and Signal Detection for Space Division Multiplexing in a MIMO-OFDM System" in IEICE TRANSACTIONS on Communications, vol. E88-B, no. 1, pp. 10-18, January 2005, doi: 10.1093/ietcom/e88-b.1.10.
Abstract: We consider space division multiplexing in a MIMO-OFDM system for high data rate transmission. Channel estimation is very important for suppressing interference and demultiplexing signals. In a wireless LAN system such as IEEE 802.11a, only a few training symbols are inserted in each subcarrier. First, we propose a channel estimation method for a MIMO-OFDM system with two training symbols per subcarrier. The basic idea is to estimate the time-domain channel responses between the transmit and receive antennas. The array response vectors for each subcarrier are calculated by applying a fast Fourier transform to them. We then can obtain the adaptive weights to cancel the interference. We show that employing training symbols having a lower condition number of the matrix used for the channel estimation improves the estimation accuracy. Furthermore, we show the bit error rate for several signal detection schemes using the above estimated channel. It is shown that an ordered successive detection based on an MMSE criterion has excellent performance, that is, it can achieve higher-speed transmissions with a lower transmit power.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.1.10/_p

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@ARTICLE{e88-b_1_10,
author={Yasutaka OGAWA, Keisuke NISHIO, Toshihiko NISHIMURA, Takeo OHGANE, },
journal={IEICE TRANSACTIONS on Communications},
title={Channel Estimation and Signal Detection for Space Division Multiplexing in a MIMO-OFDM System},
year={2005},
volume={E88-B},
number={1},
pages={10-18},
abstract={We consider space division multiplexing in a MIMO-OFDM system for high data rate transmission. Channel estimation is very important for suppressing interference and demultiplexing signals. In a wireless LAN system such as IEEE 802.11a, only a few training symbols are inserted in each subcarrier. First, we propose a channel estimation method for a MIMO-OFDM system with two training symbols per subcarrier. The basic idea is to estimate the time-domain channel responses between the transmit and receive antennas. The array response vectors for each subcarrier are calculated by applying a fast Fourier transform to them. We then can obtain the adaptive weights to cancel the interference. We show that employing training symbols having a lower condition number of the matrix used for the channel estimation improves the estimation accuracy. Furthermore, we show the bit error rate for several signal detection schemes using the above estimated channel. It is shown that an ordered successive detection based on an MMSE criterion has excellent performance, that is, it can achieve higher-speed transmissions with a lower transmit power.},
keywords={},
doi={10.1093/ietcom/e88-b.1.10},
ISSN={},
month={January},}

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TY - JOUR
TI - Channel Estimation and Signal Detection for Space Division Multiplexing in a MIMO-OFDM System
T2 - IEICE TRANSACTIONS on Communications
SP - 10
EP - 18
AU - Yasutaka OGAWA
AU - Keisuke NISHIO
AU - Toshihiko NISHIMURA
AU - Takeo OHGANE
PY - 2005
DO - 10.1093/ietcom/e88-b.1.10
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2005
AB - We consider space division multiplexing in a MIMO-OFDM system for high data rate transmission. Channel estimation is very important for suppressing interference and demultiplexing signals. In a wireless LAN system such as IEEE 802.11a, only a few training symbols are inserted in each subcarrier. First, we propose a channel estimation method for a MIMO-OFDM system with two training symbols per subcarrier. The basic idea is to estimate the time-domain channel responses between the transmit and receive antennas. The array response vectors for each subcarrier are calculated by applying a fast Fourier transform to them. We then can obtain the adaptive weights to cancel the interference. We show that employing training symbols having a lower condition number of the matrix used for the channel estimation improves the estimation accuracy. Furthermore, we show the bit error rate for several signal detection schemes using the above estimated channel. It is shown that an ordered successive detection based on an MMSE criterion has excellent performance, that is, it can achieve higher-speed transmissions with a lower transmit power.
ER -