Analysis of A Simplified Channel Estimator for MIMO Frequency Selective Channels

Pei Xiao; Mathini Sellathurai

doi:10.1109/VETECS.2008.212

Analysis of A Simplified Channel Estimator for MIMO Frequency Selective Channels

Pei Xiao^*, Mathini Sellathurai

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Channel estimation for multiple-input, multipleoutput (MIMO) systems is studied in this paper. In particular, we present a simplified MIMO channel estimator based on orthogonal design. The performance of the proposed scheme is theoretically analyzed and compared to that of the optimum maximum likelihood estimator. The effect of non-orthogonality of the training sequences is investigated. Some modifications of the proposed estimator with sample stacking and averaging are introduced to further improve the estimation performance. This simplified scheme is evaluated in the context of the WiMAX MIMO systems in terms of mean square error for the channel estimation and bit error rate for the space-time turbo equalization. Both analytical and simulation results indicate that despite of its low computational complexity, this simplified estimator leads to minimum variance unbiased estimation and achieves identical performance to that of the maximum likelihood estimator.

Original language	English
Title of host publication	67th IEEE Vehicular Technology Conference-Spring 2008
Publisher	IEEE
Pages	988-993
Number of pages	6
ISBN (Print)	9781424416448
DOIs	https://doi.org/10.1109/VETECS.2008.212
Publication status	Published - 20 May 2008
Event	67th IEEE Vehicular Technology Conference-Spring 2008 - Marina Bay, Singapore Duration: 11 May 2008 → 14 May 2008

Conference

Conference	67th IEEE Vehicular Technology Conference-Spring 2008
Abbreviated title	VTC2008
Country/Territory	Singapore
City	Marina Bay
Period	11/05/08 → 14/05/08

Keywords

Channel estimation
Frequency-selective fading channels
MIMO
Space-time codes

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/VETECS.2008.212

Cite this

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title = "Analysis of A Simplified Channel Estimator for MIMO Frequency Selective Channels",

abstract = "Channel estimation for multiple-input, multipleoutput (MIMO) systems is studied in this paper. In particular, we present a simplified MIMO channel estimator based on orthogonal design. The performance of the proposed scheme is theoretically analyzed and compared to that of the optimum maximum likelihood estimator. The effect of non-orthogonality of the training sequences is investigated. Some modifications of the proposed estimator with sample stacking and averaging are introduced to further improve the estimation performance. This simplified scheme is evaluated in the context of the WiMAX MIMO systems in terms of mean square error for the channel estimation and bit error rate for the space-time turbo equalization. Both analytical and simulation results indicate that despite of its low computational complexity, this simplified estimator leads to minimum variance unbiased estimation and achieves identical performance to that of the maximum likelihood estimator.",

keywords = "Channel estimation, Frequency-selective fading channels, MIMO, Space-time codes",

author = "Pei Xiao and Mathini Sellathurai",

year = "2008",

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doi = "10.1109/VETECS.2008.212",

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note = "67th IEEE Vehicular Technology Conference-Spring 2008, VTC2008 ; Conference date: 11-05-2008 Through 14-05-2008",

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T1 - Analysis of A Simplified Channel Estimator for MIMO Frequency Selective Channels

AU - Xiao, Pei

AU - Sellathurai, Mathini

PY - 2008/5/20

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N2 - Channel estimation for multiple-input, multipleoutput (MIMO) systems is studied in this paper. In particular, we present a simplified MIMO channel estimator based on orthogonal design. The performance of the proposed scheme is theoretically analyzed and compared to that of the optimum maximum likelihood estimator. The effect of non-orthogonality of the training sequences is investigated. Some modifications of the proposed estimator with sample stacking and averaging are introduced to further improve the estimation performance. This simplified scheme is evaluated in the context of the WiMAX MIMO systems in terms of mean square error for the channel estimation and bit error rate for the space-time turbo equalization. Both analytical and simulation results indicate that despite of its low computational complexity, this simplified estimator leads to minimum variance unbiased estimation and achieves identical performance to that of the maximum likelihood estimator.

AB - Channel estimation for multiple-input, multipleoutput (MIMO) systems is studied in this paper. In particular, we present a simplified MIMO channel estimator based on orthogonal design. The performance of the proposed scheme is theoretically analyzed and compared to that of the optimum maximum likelihood estimator. The effect of non-orthogonality of the training sequences is investigated. Some modifications of the proposed estimator with sample stacking and averaging are introduced to further improve the estimation performance. This simplified scheme is evaluated in the context of the WiMAX MIMO systems in terms of mean square error for the channel estimation and bit error rate for the space-time turbo equalization. Both analytical and simulation results indicate that despite of its low computational complexity, this simplified estimator leads to minimum variance unbiased estimation and achieves identical performance to that of the maximum likelihood estimator.

KW - Channel estimation

KW - Frequency-selective fading channels

KW - MIMO

KW - Space-time codes

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M3 - Conference contribution

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SN - 9781424416448

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BT - 67th IEEE Vehicular Technology Conference-Spring 2008

PB - IEEE

T2 - 67th IEEE Vehicular Technology Conference-Spring 2008

Y2 - 11 May 2008 through 14 May 2008

ER -

Analysis of A Simplified Channel Estimator for MIMO Frequency Selective Channels

Abstract

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Keywords

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