Complexity-Reduced Channel Estimation in Spatially Correlated MIMO-OFDM Systems(Wireless Communication Technologies)

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概要

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• 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.

• 社団法人電子情報通信学会の論文
• 2007-09-01

著者

• Lee Yong-hwan

  School Of Electrical Engineering And Computer Science Seoul National University

• Choi Ji-woong

  Department Of Electrical Engineering Stanford University

• Lee Yong-hwan

  School Of Electrical Engineering And Computer Science And Inmc In Seoul National University

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• Complexity-Reduced Channel Estimation in Spatially Correlated MIMO-OFDM Systems(Wireless Communication Technologies)
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