Presentation 2004/9/9
Detection of OFDM Signal in Fading Channel
Somkiat Lerkvaranyu, Yoshikazu Miyanaga,
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Abstract(in English) This paper proposes a method for reconstructing the QPSK signal in the orthogonal frequency division multiplexing (OFDM) system. The OFDM has several advantages, i.e., the possibility ofa simple equalization of the received signal. We consider the problem of reconstructing OFDM signals which are passed through fading channel and then corrupted with additive white Gaussian noise. This problem is known as the channel equalization which can be viewed as a received phasor classification problem. The proposed method is a radial basis function (RBF) neural network which learns the characteristic of signal constellations in the channel state and reconstructing the correct signal constellation under noisy circumstances. The hybrid learning process is used to train the RBF network. The hidden layer is trained by the hard c means clustering. The supervised learning with given input-output pairs are used to train the output layer.
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Keyword(in English) OFDM / RBF / Equalization
Paper # EA2004-59,SIP2004-63,SIS2004-30
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Committee SIP
Conference Date 2004/9/9(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of OFDM Signal in Fading Channel
Sub Title (in English)
Keyword(1) OFDM
Keyword(2) RBF
Keyword(3) Equalization
1st Author's Name Somkiat Lerkvaranyu
1st Author's Affiliation Department of Electronic Engineering Faculty of Engineering Hokkaido University()
2nd Author's Name Yoshikazu Miyanaga
2nd Author's Affiliation Department of Electronic Engineering Faculty of Engineering Hokkaido University
Date 2004/9/9
Paper # EA2004-59,SIP2004-63,SIS2004-30
Volume (vol) vol.104
Number (no) 305
Page pp.pp.-
#Pages 6
Date of Issue