The application of IMEA in nonlinearity correction of VCO frequency modulation

  • Authors:

  • Gaowei Yan;Jun Xie;Keming Xie

  • Affiliations:

  • College of Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, P.R. China;College of Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, P.R. China;College of Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, P.R. China

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
  • Year:
  • 2005

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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.