Presentation 2011-03-02
Practical Kalman Filter based Channel Estimation in MIMO-OFDM Systems
Takahiro NATORI, Nari TANABE, Hideaki MATSUE, Toshihiro FURUKAWA,
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Abstract(in English) This paper proposed the channel gain estimation method with Kalman filter theory for MIMO-OFDM communication. The proposed method is used the only Kalman filter theory without the auto regressive system (AR system) for the channel gain estimation. The remarkable features of this method are that (1) the channel gain estimation accuracy does not depend on the parameter of the AR system, (2) the maximum Doppler frequency is unknown, and (3) the proposed method can estimate the channel gain by low computational complexity. Therefore, the proposed method is the practical MIMO-OFDM channel gain estimation method.
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Keyword(in English) MIMO-OFDM / channel estimation / Kalman filter / colored driving source
Paper # RCS2010-258
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Committee RCS
Conference Date 2011/2/23(1days)
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Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Practical Kalman Filter based Channel Estimation in MIMO-OFDM Systems
Sub Title (in English)
Keyword(1) MIMO-OFDM
Keyword(2) channel estimation
Keyword(3) Kalman filter
Keyword(4) colored driving source
1st Author's Name Takahiro NATORI
1st Author's Affiliation Tokyo University of Science, Suwa()
2nd Author's Name Nari TANABE
2nd Author's Affiliation Tokyo University of Science, Suwa
3rd Author's Name Hideaki MATSUE
3rd Author's Affiliation Tokyo University of Science, Suwa
4th Author's Name Toshihiro FURUKAWA
4th Author's Affiliation Tokyo University of Science
Date 2011-03-02
Paper # RCS2010-258
Volume (vol) vol.110
Number (no) 433
Page pp.pp.-
#Pages 6
Date of Issue