Complexity-reduced channel estimation in spatially correlated MIMO-OFDM systems

Ji Woong Choi; Yong Hwan Lee

doi:10.1093/ietcom/e90-b.9.2609

Complexity-reduced channel estimation in spatially correlated MIMO-OFDM systems

Ji Woong Choi, Yong Hwan Lee

Department of Electrical Engineering and Computer Science

Seoul National University

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

15 Scopus citations

Abstract

The performance of a MIMO-OFDM system significantly depends upon the accuracy of the channel impulse response (CIR) estimates. In the presence of correlation between the CIRs of the transmit or receive antennas, it is desirable to exploit this correlation to improve the performance of CIR estimation. In this letter, we propose a low-complexity channel estimation filter composed of four concatenated one-dimensional Wiener filters which are optimized to the channel characteristics in the time and frequency domains, and the transmit and receiver antenna front ends, respectively. Finally, the performance of the proposed scheme is verified.

Original language	English
Pages (from-to)	2609-2612
Number of pages	4
Journal	IEICE Transactions on Communications
Volume	E90-B
Issue number	9
DOIs	https://doi.org/10.1093/ietcom/e90-b.9.2609
State	Published - Sep 2007

Keywords

Channel estimation
MIMO-OFDM
Spatially correlated channel

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N2 - The performance of a MIMO-OFDM system significantly depends upon the accuracy of the channel impulse response (CIR) estimates. In the presence of correlation between the CIRs of the transmit or receive antennas, it is desirable to exploit this correlation to improve the performance of CIR estimation. In this letter, we propose a low-complexity channel estimation filter composed of four concatenated one-dimensional Wiener filters which are optimized to the channel characteristics in the time and frequency domains, and the transmit and receiver antenna front ends, respectively. Finally, the performance of the proposed scheme is verified.

AB - The performance of a MIMO-OFDM system significantly depends upon the accuracy of the channel impulse response (CIR) estimates. In the presence of correlation between the CIRs of the transmit or receive antennas, it is desirable to exploit this correlation to improve the performance of CIR estimation. In this letter, we propose a low-complexity channel estimation filter composed of four concatenated one-dimensional Wiener filters which are optimized to the channel characteristics in the time and frequency domains, and the transmit and receiver antenna front ends, respectively. Finally, the performance of the proposed scheme is verified.

KW - Channel estimation

KW - MIMO-OFDM

KW - Spatially correlated channel

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JO - IEICE Transactions on Communications

JF - IEICE Transactions on Communications

IS - 9

ER -

Complexity-reduced channel estimation in spatially correlated MIMO-OFDM systems

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Keywords

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