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The Application of IMEA in Nonlinearity Correction of VCO Frequency Modulation

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Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3611))

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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.

Supported by Shanxi Province Tackle Projects in Science and Technology (001043),Visiting Scholar Foundations Project (2004-18) of Shanxi Province, P.R. China.

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References

  1. Xie, K.M., Mou, C.H., Xie, G.: The multi-parameter combination mind-evolutionary-based machine learning and its application. In: Proceedings of 2000 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2000), pp. 183–187 (2000)

    Google Scholar 

  2. Xie, K.M., Du, Y.G., Sun, C.Y.: Application of the mind-evolution-based machine learning in mixture-ratio calculation of raw materials cement. In: Proceedings of the World Congress on Intelligent Control and Automation, vol. 1, pp. 132–134 (2000)

    Google Scholar 

  3. Dasgupta, D., Forrest, S.: Artificial Immune Systems in Industrial Applications. In: Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials (IPMM), pp. 257–267 (1999)

    Google Scholar 

  4. Dasgupta, D.: Artificial immune systems and their applications. Springer, Berlin (1999)

    MATH  Google Scholar 

  5. Piper, S.O.: Homodyne FMCW Radar Range Resolution Effects with Sinusiodal Nonlinearity in the Frequency Sweep. In: IEEE International Radar Conference, pp. 563–567 (1995)

    Google Scholar 

  6. Zhang, L.Z., Wang, X.G., Xiang, J.C.: The Relationship Between FM linearity and Range Resolution in FMCW Radar. Signal Processing 15, 93–97 (1999)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Yan, G., Xie, J., Xie, K. (2005). The Application of IMEA in Nonlinearity Correction of VCO Frequency Modulation. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_133

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  • DOI: https://doi.org/10.1007/11539117_133

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28325-6

  • Online ISBN: 978-3-540-31858-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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