Advertisement

Signal Processing for Radar Systems

Chapter
  • 1.4k Downloads
Part of the Signals and Communication Technology book series (SCT)

Abstract

This chapter introduces key ideas behind signal processing of received radar signal.

References

  1. 1.
    Sayood, K.: Introduction to Data Compression, 3rd edn, Elsevier Inc. (2006)Google Scholar
  2. 2.
    Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn, Pearson (2007)Google Scholar
  3. 3.
    Brown, J.W, Churchill, R.V.: Fourier Series and Boundary Value Problems, 8th edn, McGraw-Hill Education (2011)Google Scholar
  4. 4.
    Smith, J.O.: Mathematics of the Discrete Fourier Transform (DFT): With Audio Applications, 2nd edn, W3K Publishing (2007)Google Scholar
  5. 5.
    Bracewell, R.N.: The Fourier Transform and Its Applications, McGraw-Hill, New York (1999)Google Scholar
  6. 6.
    Gill, G.S.: Ultra-wideband radar using Fourier synthesized waveforms, IEEE Trans. Electromagn. Compat. 39(2), 124–131 (1997)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Taylor, J.D.: Ultra-wideband Radar Technology, CRC Press (2000)Google Scholar
  8. 8.
    Richards, M.A.: Fundamentals of Radar Signal Processing, 2nd Ed, McGraw-Hill, (2014)Google Scholar
  9. 9.
    Brandwood, D.: Fourier Transforms in Radar and Signal Processing, Artech House (2003)Google Scholar
  10. 10.
    Wang, B.: Digital Signal Processing Techniques and Applications in Radar Image Processing, John Wiley & Sons, Inc. (2008)Google Scholar
  11. 11.
    Melvin, W.L., Scheer J.A. (eds.): Principles of Modern Radar: Radar Applications, SciTech Publishing (2014)Google Scholar
  12. 12.
    Gamba, J.: On Noise-Compensated Techniques for Time Delay Estimation, Ph.D. Thesis (2005)Google Scholar
  13. 13.
    Kay, S.M.: Modern Spectral Estimation: Theory and Application. Prentice Hall, Englewood Cliffs, NJ (1988)zbMATHGoogle Scholar
  14. 14.
    Hayes, M.H.: Statistical Digital Signal Processing and Modeling. Wiley, New York (1996)Google Scholar
  15. 15.
    Therrien, C.W.: Discrete Random Signals and Statistical Signal Processing. Prentice Hall, Englewood Cliffs, NJ (1992)zbMATHGoogle Scholar
  16. 16.
    Gamba, J., Shimamura, T., Kawasaki, S., Higuchi, M., Murakami, H.: A joint iterative estimation of noise variance and AR parameters. Int. J. Inf. Sci. Comput. Eng. (IJISCE) 2(1), 1–6 (2011)Google Scholar
  17. 17.
    Vaseghi, S.V.: Advanced Signal Processing and Digital Noise Reduction. John Wiley and Teubner, England (1996)CrossRefGoogle Scholar
  18. 18.
    Gamba, J, Shimamura, T.: Two-dimensional spectral estimation with noise-compensated data extrapolation. In: Proceedings of International Conference on Fundamentals of Electronics, Communications and Computer Science, pp. 20–17–20–22. Tokyo, Japan, Mar (2002) Google Scholar
  19. 19.
    Harris, F.J.: On the use of windows for harmonic analysis with the discrete fourier transform. Proc. IEEE. 66(1), 51–83 (1978)CrossRefGoogle Scholar
  20. 20.
    Nuttall, AH.: Some Windows With Very Good Sidelobe Behavior; Application to Discrete Hilbert Transform, NUSC Technical Report 6239, Naval Underwater Systems Center, Surface Ship Sonar Systems Department, 9 Apr 1980Google Scholar
  21. 21.
    Heinzel, G., Rüdiger, A., Schilling, R.: Spectrum and spectral density estimation by the Discrete Fourier transform (DFT), including a comprehensive list of window functions and some new flat-top windows, Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Branch Institute Hannover, 15 Feb 2002Google Scholar
  22. 22.
    Curry, G.R.: Radar Essentials: A Concise Handbook for Radar Design and Performance Analysis, Spi edn, Scitech Publishing (2011)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.TsukubaJapan

Personalised recommendations