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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28481

Title: Estimation of nonlinear communication channels using random multisine signals
Authors: Ching-Hsiang Tseng
Contributors: NTOU:Department of Electrical Engineering
Date: 2008-08
Issue Date: 2011-10-21T02:37:44Z
Publisher: Proceedings of the International Conference on Communications and Networking in China
Abstract: Abstract:Estimation of nonlinear communication channel has long been an important problem in digital communications. Being able to identify the nonlinear characteristics of the channels can help in the design of the nonlinear equalizer. In this paper, we propose a novel method for estimation of cubically nonlinear channels using random multisine signals as the input. By analyzing the higher-order moment spectra of random multisine input signals, a computationally efficient algorithm for identifying the Volterra kernels of the nonlinear channel is derived. In addition, we show that, with properly designed random multisines as driving signals, the channel estimate obtained by the proposed method is equal to the optimum minimum mean square error solution. The goodness of the proposed method is also demonstrated by computer simulation.
Relation: pp.652-656
URI: http://ntour.ntou.edu.tw/handle/987654321/28481
Appears in Collections:[電機工程學系] 演講及研討會

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