Skip to main content

Phased Array Antenna Design Based on Kriging Meta-model

  • Conference paper
AsiaSim 2012 (AsiaSim 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 325))

Included in the following conference series:

  • 1497 Accesses

Abstract

The traditional reverse design of the array antenna usually depends on the designer’s personal experience and a large number of complicated iterative calculations, then needs to consume a lot of time throughout the design process. To solve this problem, a new method of array antenna design by using the experimental design method and approximate surrogate model is proposed. After establishing the antenna field strength model, performance indexes calculation and the Kriging meta- model, a design example of guidance radar is solved. And the result of the example verifies that this method can significantly reduce the amount of simulation, have obvious advantages especially in the case of a large number of array elements, and its design results are reliable.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Mahafza, B.R., Elsherbeni, A.Z.: MATLAB Simulations for Radar Systems Design. Chapman & Hall/CRC CRC Press LLC, Boca Raton (2004)

    Google Scholar 

  2. Golovidov, O.B., Mason: Response Surface Approximations for Aerodynamic Parameters in High Speed Civil Transport Optimization. Virginia Polytechnic Institute and State University

    Google Scholar 

  3. Knill, D.L., Giunta, A.A., Baker, C.A.: Response surface models combining linear and euler aerodynamics for supersonic transport design. Journal of Aircraft 36(1), 75–86

    Google Scholar 

  4. Unal, R., Lepsch, R.A., Mcmillin, M.: Response Surface Model Building and Multidisciplinary Optimization Using D-Optimal Design. In: 7th Annual AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization (1998)

    Google Scholar 

  5. Jin, R., Chen, W., Simpson, T.W.: Comparative studies of metamodeling techniques under multiple modeling criteria. Journal of Structural and Multidisciplinary Optimization 23(1), 1–13 (2001)

    Article  Google Scholar 

  6. Jay, D.M., Simpson, T.W.: Use of Kriging models to approximate deterministic computer models. American Institute of Aeronautics and Astronautics Journal 43(3), 853–863 (2005)

    Google Scholar 

  7. Kleijnen, J.P.C.: Kriging metamodeling in simulation: A review. European Journal of Operational Research 192(3), 707–716 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  8. Wang, G.G., Shan, S.: Review of metamodeling techniques in support of engineering design optimization. Transactions of the ASME 129, 370–380 (2007)

    Article  Google Scholar 

  9. Kleijnen, J.P.C., Van Beers, W.C.M.: Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments. European Journal of Operational Research 165(3), 826–834 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  10. Oppenheim, A.V., Schafer, R.W.: Discrete-Time Signal Processing, 3rd edn. Pearson Higher Education, Inc., Upper Saddle River (2010)

    Google Scholar 

  11. Kaiser, J.F.: Nonrecursive Digital Filter Design Using the - sinh Window Function. In: Proc. 1974 IEEE Symp. Circuits and Systems, pp. 20–23 (April 1974)

    Google Scholar 

  12. Kleijnen, J.P.C.: Design of Experiments: Overview. In: The 2008 Winter Simulation Conference (2008)

    Google Scholar 

  13. Lophaven, S.N., Nielsen, H.B., Sondergaard, J.: DACE Matlab Kriging Toolbox. Technical University of Denmark, Denmark (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yang, Y., Liao, Y., He, X. (2012). Phased Array Antenna Design Based on Kriging Meta-model. In: Xiao, T., Zhang, L., Fei, M. (eds) AsiaSim 2012. AsiaSim 2012. Communications in Computer and Information Science, vol 325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34387-2_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34387-2_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34386-5

  • Online ISBN: 978-3-642-34387-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics