A TOTAL QUALITY ASSESSMENT SOLUTION FOR SYNTHETIC APERTURE RADAR NLFM WAVEFORM GENERATION AND EVALUATION IN A COMPLEX RANDOM MEDIA

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 10 , ISSUE 1 (March 2017) > List of articles

A TOTAL QUALITY ASSESSMENT SOLUTION FOR SYNTHETIC APERTURE RADAR NLFM WAVEFORM GENERATION AND EVALUATION IN A COMPLEX RANDOM MEDIA

Iman Heidarpour Shahrezaei * / Morteza Kazerooni * / Mohsen Fallah *

Keywords : Synthetic Aperture Radar (SAR), Non-Linear Frequency Modulation (NLFM), Ambiguity Function (AF), image formation algorithm (IFA), complex random media (CRM), quality assessment techniques.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 10, Issue 1, Pages 174-198, DOI: https://doi.org/10.21307/ijssis-2017-208

License : (CC BY-NC-ND 4.0)

Received Date : 15-December-2016 / Accepted: 17-February-2017 / Published Online: 01-March-2017

ARTICLE

ABSTRACT

A Design, simulation and optimal selection of non-linear frequency modulation waveforms (NLFM) based on correlated ambiguity function (AF) quality analysis for the purpose of Synthetic Aperture Radar (SAR) is done in this article. The selected optimum CNLFM waveform in contribution with other waveforms are applied directly into a SAR image formation algorithm (IFA) and their quality metrics in comparison to other waveforms are derived and analyzed in a complex random media (CRM). The total quality performance analysis includes both the qualitative AF diagrams and the objective image quality metrics assessments. The simulation results not only verify the robustness of the proposed NLFM waveforms as a suitable alternative for LFM waveform but also introduce NLFM as a proper method of modulation for SAR in CRM.

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REFERENCES

  1. J. J. Kovaly., Synthetic Aperture Radar., Artech House, Dedham, MA, 1976.
  2. J. C. Curlander, R. N. McDonough, Synthetic Aperture Radar: Systems & Signal Processing, John Wiley & Sons editions, New York.1991.
  3. M. I. Skolnik., Introduction to Radar Systems., McGraw-Hill, New York, 2001.
  4. M. Sack, M. R. Ito and I. G. Cumming, "Application of efficient linear FM matched filtering
    algorithms to synthetic aperture radar processing" IEE Proceedings, Vol. 132, pp. 45-57, Feb. 1985.
  5. R. Sullivan, Synthetic aperture radar, in M. I. Skolnik Radar Handbook, 3rd Ed, New York: McGraw Hill, 2008.
  6. J. Zhu, Zh. He, Bo. Zhou and J. Li, "Real-time signal processing implementation of the missile-borne SAR using high performance DSP", IEEE, Int. Conf. on Radar, pp. 1-4, Oct. 2006.
  7. Y. Liu, M. Xing, G. Sun, X. Lv, Z. Bao and W. Hong, "Echo model analysis and imaging algorithm for high-resolution SAR on high-speed platform", IEEE, Trans on Geo. and Rem. Sens., Vol.50, No.3, pp. 933-950,Sept. 2012.
  8. Y.Yusheng, Zh. Linrang, L. Yan, L. Nan and L. Xin, "Range Doppler algorithm for bistatic missile-borne forward-looking SAR", IEEE 2nd APSAR, pp. 960-963, Oct. 2009.
  9. Zh.Yingxi, L. Ming, "A design of motion compensation for high resolution imaging of missile-borne SAR", IEEE, ICCCAS, pp. 427-430, Sept. 2009.
  10. G. Brooker, M. Bishop and R. Hennessy, "Evolution of a suite of smart millimetre wave radar systems for situational awareness and automation in mines", International Journal on Smart Sensing and Intelligent Systems (S2IS), Vol. 1, No. 8, pp.315-353, Jun. 2008.
  11. E. De Witte and H. D. Griffiths, "Improved ultra-low range sidelobe pulse compression waveform design", IEEE Electronics Letters, vol. 40, no. 22, pp. 1448–1450, Nov. 2004.
  12. S. F. Li, J. Chen, L.Q. Zhang and Y.Q. Zhou, "Image Formation Algorithm for Missile-Borne MMW SAR with Phase Coded Waveform", IET, Int. Conf. on Radar, pp. 1-4, Dec. 2009.
  13. James M. Kurdzo, Boon Leng Cheong, Robert D. Palmer, Guifu Zhang, "Optimized NLFM pulse compression waveforms for high-sensitivity radar observations", Int. Radar Conference (Radar), pp.1-6 ,Oct. 2014.
  14. J.Saeedi , Karim Faez, "Synthetic aperture radar imaging using nonlinear frequency modulation signal", IEEE Transactions on Aerospace and Electronic Systems ,Vol. 52, Issue. 1, pp. 99-110, Feb. 2016.
  15. S. Boukeffa, Y. Jiang, T. Jiang, "Sidelobe reduction with nonlinear frequency modulated waveforms", IEEE 7th Int. Colloquium on Signal Processing and its Applications (CSPA), pp. 399-403, May. 2011
  16. M. Luszczyk, "Numerical evaluation of ambiguity function for stepped non-linear FM radar waveform", International Conference on Microwaves, Radar & Wireless Communications (MIKON), pp.1164 – 1167, May. 2006.
  17. Wei Wang, Robert Wang, Yunkai Deng, Zhimin Zhang, Xiayi Wu, Zhihuo Xu, "Demonstration of NLFM Waveforms With Experiments and Doppler Shift Compensation for SAR Application", IEEE Geoscience and Remote Sensing Letters, Vol. 13, Issue 12, pp.1999-2003 , Dec. 2016.
  18. B. R. Mahafza., MATLAB Simulations for radar System Design, Chapman & Hall, 2004.
  19. X. Lu and H. Sun, "Parameter assessment for SAR image quality evaluation system " in Proc. 1st APSAR, pp. 58–60, Nov. 2007.
  20. I. Heidarpour, M. Kazerooni, M. Fallah, "A complex target terrain SAR raw data generation and evaluation based on inversed equalized hybrid-domain algorithm processing," Waves in Random and Complex Media (WRCM), Vol. 27, Issue 1, pp.47-66, Jan. 2017.
  21. Y. Fei, Y. Zh. Shan, L. C. Ren and Ch. En, "Image quality assessment method for underwater acoustic communication based on digital watermarking," International Journal on Smart Sensing and Intelligent Systems (S2IS), Vol. 6, No. 2, pp.752-771, Apr. 2013.
  22. F. J. Harris, "On the Use of Windows for Harmonic Analysis with the Discrete Fourier Transform", Proceedings of the IEEE. Vol. 66, pp. 51-84, Jan. 1978.

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