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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chen, Z.M., Ding, Y.Y., Xiang, J.C.: The Effects of Nonlinearity in Frequency Sweep on the Range Precision and Range Resolution of LFMCW Radar. Acta Electronica Sinica 27(9), 103–104 (1999)
Shen, T., Sun, Z.L.: Design of a highly Linearized 35GHz VCO. Journal of Southeast University 26(1), 14–18 (1996)
Huang, R.X., Zong, C.G.: Research into the Method of the Nonlinear Compensation for VCO. Control and Instruments in Chemical Industry 31(3), 50–51 (2004)
Wang, X.G., Feng, J.X., Xiang, J.C.: Linearity Correction for linear FM Sweep Signals. Acta Electronica Sinica 24(10), 120–122 (1996)
Jing, Y.Q., He, G.Y., Xu, D.: Suppression of Sweeping Nonlinearity Based on Resampling Technique. Journal of Microwaves 19(4), 92–95 (2003)
Chen, Z.M., Ding, Y.Y., Xiang, J.C.: A Method on Nonlinear Correction of Broadband LFMCW Signal Utilizing Its Relative Sweep Nonlinear Error. Systems Engineering and Electronics 23(2), 16–18 (2001)
Wang, X.G., Feng, J.X., Xiang, J.C., Yuan, X.H.: An Iterative Algorithm of Sweep Linearity Correction for FMCW Signals. Systems Engineering and Electronics 7, 23–26 (1997)
Xie, K.M., Mou, C.H., Xie, G.: A MEA-based adaptive fuzzy logic controller. In: 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation, pp. 1492–1496 (2000)
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)
Hao, X.L., Xie, K.M.: Design of a Fuzzy PID Controller Employed Multilevel Mind Evolution Algorithm. Journal of Taiyuan University of Technology 35(2), 130–133 (2004)
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 (WCICA), vol. 1, pp. 132–134 (2000)
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)
Wang, X.G., Yuan, X.H., Xiang, J.C., Feng, J.X.: Sweep Linearity Effect on Linear FMCW Radar Range Resolution. Systems Engineering and Electronics 10, 19–23 (1995)
Zeng, J.C., Sun, C.Y.: A Mind-Evolution Method with Binary-Code. Aeronautical Computer Technique 29(4), 43–45 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yan, G., Xie, G., Qiu, Y., Chen, Z. (2005). MEA Based Nonlinearity Correction Algorithm for the VCO of LFMCW Radar Level Gauge. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science(), vol 3641. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11548669_48
Download citation
DOI: https://doi.org/10.1007/11548669_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28653-0
Online ISBN: 978-3-540-31825-5
eBook Packages: Computer ScienceComputer Science (R0)