Presentation 2009-06-26
Construction of a Kalman estimator for BFDM/OQAM system in the time-frequency dispersive channels
Bayarpurev MONGOL, Takaya YAMAZATO, Masaaki KATAYAMA,
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Abstract(in English) BFDM/OQAM allows to employ a gaussian transmitter pulse at maximal spectral efficiency. Thus, it performs well in the time-frequency dispersive channels and is considered to be a promising candidate for the next generation mobile communications modulation scheme. However, in the highly mobile environment the performance deteriorates and channel equalization and estimation schemes became essential for further improvement of BFDM/OQAM systems. This paper proposes a novel adaptive channel estimator based on a Kalman filter. We approximate the channel state with a number of samples of its fading processes at each delay tap. The idea behind our estimator is to employ a linear predictor to derive a process equation for the Kalman filter. To reduce the convergence time the bayesian estimation is employed to provide an initial value for the Kalman filter. The mean-square-error performance of the proposed estimator is evaluated using computer simulation.
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Keyword(in English) time-frequency dispersive channels / pulse-shaping OFDM / BFDM/OQAM / channel estimation / Kalman filter
Paper # RCS2009-50
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Committee RCS
Conference Date 2009/6/18(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) Construction of a Kalman estimator for BFDM/OQAM system in the time-frequency dispersive channels
Sub Title (in English)
Keyword(1) time-frequency dispersive channels
Keyword(2) pulse-shaping OFDM
Keyword(3) BFDM/OQAM
Keyword(4) channel estimation
Keyword(5) Kalman filter
1st Author's Name Bayarpurev MONGOL
1st Author's Affiliation Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Nagoya University()
2nd Author's Name Takaya YAMAZATO
2nd Author's Affiliation Eco Topia Science Institute, Nagoya University
3rd Author's Name Masaaki KATAYAMA
3rd Author's Affiliation Eco Topia Science Institute, Nagoya University
Date 2009-06-26
Paper # RCS2009-50
Volume (vol) vol.109
Number (no) 105
Page pp.pp.-
#Pages 6
Date of Issue