MEA based nonlinearity correction algorithm for the VCO of LFMCW radar level gauge

  • Authors:

  • Gaowei Yan;Gang Xie;Yuxia Qiu;Zehua Chen

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

  • Venue:
  • RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
  • Year:
  • 2005

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Abstract

In this paper, Mind Evolutionary Algorithm (MEA) is introduced to correct the nonlinearity of voltage-controlled oscillator (VCO) in linear frequency modulation continuous wave (LFMCW) radar level gauge. Firstly, the frequency modulation (FM) voltage is divided into several subsections. By using fast Fourier transform (FFT) analysis for the beat frequency signals and distilling the characteristic of the spectrum, an evaluation function is constructed. Then MEA is applied to optimize the end coordinates of the subsections to achieve the 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 of additional hardware and measuring equipment and is easy to apply.