DocumentCode
179116
Title
A grey-box modelling approach for the nonlinear parametric channel
Author
Wiedmann, Karsten ; Weber, Thomas
Author_Institution
Inst. of Commun. Eng., Univ. of Rostock, Rostock, Germany
fYear
2014
fDate
4-9 May 2014
Firstpage
4294
Lastpage
4298
Abstract
Parametric transduction systems employ the nonlinear propagation of acoustic waves in fluid media. The nonlinear effects are beneficially used, which is in contrast to classic communication approaches. In this paper, a point-to-point model for the underlying parametric channel is investigated using a grey-box modelling approach. Prior knowledge is derived from a physical modelling. As a result, a block-oriented model is derived that consists of the concatenation of a static nonlinearity and a dynamic linearity. The structure belongs to the class of Hammerstein-Models, which are commonly used in nonlinear system modelling. In contrast to a black-box approach, the derived model simplifies parameter identification significantly and supports the design of high performance parametric communication systems. Finally, measurement results which are in good agreement with the derived model are reported.
Keywords
acoustic wave propagation; parameter estimation; radio links; radiowave propagation; Hammerstein model; acoustic waves; black-box approach; block-oriented model; concatenation; dynamic linearity; fluid media; grey-box modelling approach; nonlinear parametric channel; nonlinear propagation; parameter identification; parametric transduction systems; point-to-point model; static nonlinearity; underlying parametric channel; Arrays; Communication systems; Equations; Mathematical model; Nonlinear dynamical systems; Propagation; Signal processing; Parametric Communication System; nonlinear channel modelling; parametric transduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/ICASSP.2014.6854412
Filename
6854412
Link To Document