Signal Processing for Radar Systems

Part of the Signals and Communication Technology book series (SCT)


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


  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

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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.TsukubaJapan

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