NDLI: System modeling and design using genetic programming

Content Provider	IEEE Xplore Digital Library
Author	Leung, H. Varadan, V.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada (Leung, H.; Varadan, V.)
Abstract	In this paper we describe nonlinear system modeling and design using genetic programming (GP). In order to demonstrate the ability of GP to design complex systems, we first present a novel scheme called improved least squares genetic program (ILS-GP) that attempts to reconstruct the functional form of a nonlinear dynamical system from its noisy time series measurements. ILS-GP augments the structural search ability of GP with a novel parameter estimation scheme called improved least squares designed specifically to eliminate bias in parameter estimates of the nonlinear dynamical system in the presence of measurement noise. We use different test chaotic systems and real-life radar sea scattered signals to demonstrate the effectiveness of the ILS-GP approach in reconstructing nonlinear systems. Having shown the ability of GP to reconstruct complex systems from their time series measurements, we apply GP to the reverse problem of constructing optimal systems for generating specific sequences called spreading codes in CDMA communications. Using different approaches including correlation properties and the bit error rate, we use the proposed GP approach to design chaotic piecewise maps that generate optimal spreading codes in complicated communication environments such as multi-path. Based on computer simulations, we have shown improved performance of the GP-generated maps when compared to the other approaches including the standard Gold code.
Starting Page	88
Ending Page	97
File Size	432251
Page Count	10
File Format	PDF
ISBN	0769517242
DOI	10.1109/COGINF.2002.1039287
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-19
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Modeling Genetic programming Sea measurements Nonlinear systems Nonlinear dynamical systems Time measurement Parameter estimation Chaotic communication Radar scattering Least squares methods
Content Type	Text
Resource Type	Article

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