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The Application of IMEA in Nonlinearity Correction of VCO Frequency Modulation.

Authors :
Wang, Lipo
Chen, Ke
Ong, Yew
Yan, Gaowei
Xie, Jun
Xie, Keming
Source :
Advances in Natural Computation (9783540283256); 2005, p951-956, 6p
Publication Year :
2005

Abstract

In this paper, Immune Mind Evolutionary Algorithm (IMEA) is introduced to correct the nonlinearity of frequency modulation (FM) of voltage controlled oscillator (VCO) in linear frequency modulation continuous wave (LFMCW) radar level gauge. Firstly, the FM voltage is divided into several subsections, then by using fast Fourier transform (FFT) for the beat frequency signals, the characteristic of the spectrum is distilled, and furthermore an evaluation function is constructed. IMEA is applied to optimize the endpoint coordinates of the subsections to get nonlinear curve of FM voltage so as to compensate for the nonlinearity of VCO. Experiments show that the proposed method has good correction performance with no requirement for additional hardware, and it can complete correction in a relative short time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540283256
Database :
Supplemental Index
Journal :
Advances in Natural Computation (9783540283256)
Publication Type :
Book
Accession number :
32861836
Full Text :
https://doi.org/10.1007/11539117_133