Distributed Targets Modelling using Canonical shapes in Synthetic Aperture Radar Systems

Document Type : Research Paper


Electrical Engineering dept., Maleke Ashtar University of technology, Tehran, IRAN


In this paper, in order to simplify calculation of the distributed target response, a new model of distributed targets is presented using monostatic SAR (Synthetic Aperture Radar) imagery. Distributed targets are strategic, because they are important in various fields, especially in military. Calculating the response of these targets is difficult due to the complexity of modelling and scattering data calculation. We solve this problem with replacing the scattered pixels with canonical shapes. Besides the simplicity, this model gives the response close to the real model. This model facilitates the target detection, target design, scattering data analysis, and distributed targets interpretation of radar viewing. In fact, one of the goals of this paper is to predict the scattering data of a scene. For this purpose, the scattering field of a real model is calculated and compared with the proposed model.


[1]  P. Tait, Introduction to radar target recognition, London: The Institution of Engineering and Technology, 2009.
[2] M. G. Kaller, Matching algorithms and feature match quality measures for model-based object recognition with applications to automatic target recognition. Mathematical Sciences Graduate School of Arts and Science, New York, 1999.
[3] A. Schroth, K. H. Bethke, and W. Herdeg, “High resolution polarimetric radar imaging and applications,” Frequenz, vol. 49, pp. 3-4, March 1995.
[4] C. W. Huang, & K. C. Lee, “Frequency-diversity RCS based target recognition with ICA projection,” Journal of Electromagnetic Waves and Applications, vol. 24, no. 17-18, pp. 2547-2559, Apr. 2010.
[5] Sh. Liu, R. Zhan, J. Zhang, and Zh. Zhuang, “Radar automatic target recognition based on sequential vanishing component analysis,” Progress in Electromagnetics Research, vol. 145, pp. 241-250, May. 2014.
[6] Y. L. Chang, C. Y. Chiang, and K. S. Chen, “SAR image simulation with application to target recognition,” Progress in Electromagnetics Research, vol. 119, pp. 35–57, Apr. 2011.
[7] G. Cakir and L. Sevgi, “Radar cross-section (RCS) analysis of high frequency surface wave radar targets. Search Results,” Turkish Journal of Electrical Engineering Computer Sciences , vol.18, no.3, May 2010.
[8] P. Chen, C. Qi, L. Wu, and X. Wang, “Estimation of extended targets based on compressed sensing in cognitive radar system,” IEEE Trans. on Vehicular Technology, vol. 66, no. 2, pp.941-951, Feb. 2017.
[9] B. Wang, Z. Hu, W. Guan, Q. Liu, and J. Guo, “Study on the echo signal model and R-D imaging algorithm for FMCW SAR,” IET International. Radar Conference, pp. 1-6, Oct. 2015.
[10] I. G. Cumming and F. H. Wong, Digital processing of synthetic aperture radar data. London: Artech House, 2005.
[11] J. A. Richards, Remote sensing with imaging radar. NewYork. NY: Springer, 2009.
[12] C. V. Jakowatz, D. E. Whal, P. H. Eichel, D. C. Ghiglia, and P. A. Thompson, Spotlight-mode synthetic aperture radar: A signal processing approach. London: Kluwer Academic Publishers, 1996.
[13] W. L. Melvin, & J. A. Scheer, Principles of modern radar. SciTech Publishing, 2013.
[14] M. B. Fallahpour, H. Dehghani, A. J. Rashidi, and A. Sheikhi, “Analytical modelling and software implementation of Synthetic Aperture Radars. International Journal of Electronics,” vol. 104, no. 11, pp. 1795-1809, May 2017.
[15] M. B. Fallahpour, H. Dehghani, A. J. Rashidi, and A. Sheikhi, “SAR target recognition using behaviour library of different shapes in different incidence angles and polarizations,” Intern. Journal of Electronics, pp. 771-783, Nov. 2017.
[16] A. Vyas and B. Sashtri, “SAR polarimetric signatures for urban targets. polarimetric signature calculation and visualization,” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Aug. 2012. doi.org/10.5194/isprsarchives-XXXIX-B7-535-2012
[17] M. Nord, T. L. Ainsworth, J. S. Lee, and N. Stacy, “Comparison of compact polarimetric synthetic aperture radar modes,” IEEE Trans. on Geoscience and Remote Sensing, 47, no. 1, pp. 174 – 188, Jan. 2009.
[18] T. Moriyama, S. Uratsuka, K. Nakamura, and T. Umehara, “Polarimetric SAR image analysis using model fit for urban structure,” IEICE Trans. on Communications, vol. 47, pp. 174-188, Jan. 2005..