Enhanced channel-estimation technique for MIMO-OFDM systems

Myeongchoel Shin; Hakju Lee; Chungyong Lee

doi:10.1109/TVT.2003.822002

Enhanced channel-estimation technique for MIMO-OFDM systems

Myeongchoel Shin, Hakju Lee, Chungyong Lee

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Letter › peer-review

62 Citations (Scopus)

Abstract

In multi-input-multi-output orthogonal frequency-division multiplexing systems, conventional channel-estimation techniques using comb-type training symbols give relatively large mean squared errors (MSEs) at the edge subcarriers. To reduce the MSEs at these subcarriers, a cyclic comb-type training structure is proposed. In the proposed cyclic training structure, all types of training symbols are transmitted cyclically at each antenna. At the receiver, the channel frequency responses that are estimated using each training symbol are averaged with weights obtained from the corresponding MSEs. Computer simulations showed that the proposed cyclic training structure gives more signal-to-noise ratio gain than the conventional training structure.

Original language	English
Pages (from-to)	261-265
Number of pages	5
Journal	IEEE Transactions on Vehicular Technology
Volume	53
Issue number	1
DOIs	https://doi.org/10.1109/TVT.2003.822002
Publication status	Published - 2004 Jan

Bibliographical note

Funding Information:
Manuscript received February 17, 2003; revised July 15, 2003, and September 9, 2003. This work was supported in part by Samsung Electronics und er the project on 4G wireless communication systems.

All Science Journal Classification (ASJC) codes

Automotive Engineering
Aerospace Engineering
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/TVT.2003.822002

Cite this

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abstract = "In multi-input-multi-output orthogonal frequency-division multiplexing systems, conventional channel-estimation techniques using comb-type training symbols give relatively large mean squared errors (MSEs) at the edge subcarriers. To reduce the MSEs at these subcarriers, a cyclic comb-type training structure is proposed. In the proposed cyclic training structure, all types of training symbols are transmitted cyclically at each antenna. At the receiver, the channel frequency responses that are estimated using each training symbol are averaged with weights obtained from the corresponding MSEs. Computer simulations showed that the proposed cyclic training structure gives more signal-to-noise ratio gain than the conventional training structure.",

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AU - Shin, Myeongchoel

AU - Lee, Hakju

AU - Lee, Chungyong

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N2 - In multi-input-multi-output orthogonal frequency-division multiplexing systems, conventional channel-estimation techniques using comb-type training symbols give relatively large mean squared errors (MSEs) at the edge subcarriers. To reduce the MSEs at these subcarriers, a cyclic comb-type training structure is proposed. In the proposed cyclic training structure, all types of training symbols are transmitted cyclically at each antenna. At the receiver, the channel frequency responses that are estimated using each training symbol are averaged with weights obtained from the corresponding MSEs. Computer simulations showed that the proposed cyclic training structure gives more signal-to-noise ratio gain than the conventional training structure.

AB - In multi-input-multi-output orthogonal frequency-division multiplexing systems, conventional channel-estimation techniques using comb-type training symbols give relatively large mean squared errors (MSEs) at the edge subcarriers. To reduce the MSEs at these subcarriers, a cyclic comb-type training structure is proposed. In the proposed cyclic training structure, all types of training symbols are transmitted cyclically at each antenna. At the receiver, the channel frequency responses that are estimated using each training symbol are averaged with weights obtained from the corresponding MSEs. Computer simulations showed that the proposed cyclic training structure gives more signal-to-noise ratio gain than the conventional training structure.

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Enhanced channel-estimation technique for MIMO-OFDM systems

Abstract

Bibliographical note

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