Presentation | 2004/9/9 Detection of OFDM Signal in Fading Channel Somkiat Lerkvaranyu, Yoshikazu Miyanaga, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | OFDM / RBF / Equalization |
Paper # | EA2004-59,SIP2004-63,SIS2004-30 |
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Conference Information | |
Committee | SIP |
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Conference Date | 2004/9/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Signal Processing (SIP) |
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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 |