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High-resolution and Wide-swath UWB OFDM MIMO Synthetic Aperture Radar System Using Image Fusion

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Abstract

MIMO radar has received significant attention to radar communities recently. This paper presents a novel scheme for wide-swath and high-resolution synthetic aperture radar based on a MIMO UWB-OFDM system. The swath is increased based on a new approach for orthogonal pulse-shaping and MIMO wide-swath SAR topology. The resolution is improved using UWB-OFDM waveforms. Performance is further enhanced using image fusion techniques to benefit from the potentials of multi-sensor imagery such as noise level reduction.

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References

  • Capozzoli, A., Curcio, C., Liseno, A., & Vinetti, P. (2012). “Fast interpolation accelerated on GPU for SAR backprojection”. Proc. of the 28th Annual Rev. of Progr. in Appl. Comput. Electromagn, pp. 305–310.

  • Chen, C.-Y., & Vaidyanathan, P. (2009). “MIMO radar waveform optimization with prior information of the extended target and clutter”, signal processing. IEEE Transactions on, 57, 3533–3544.

    Article  Google Scholar 

  • Cumming, I. G., & Wong, F. H. (2004). Digital signal processing of synthetic aperture radar data: algorithms and implementation:ArtechHouse.

  • Ender, J. H. & Klare, J. (2009) “System architectures and algorithms for radar imaging by MIMO-SAR,” in Radar Conference, IEEE, 2009:1–6.

  • Gupta, A., & Dey, V. (2012). Acomparative investigation of image fusion in the context of classification. Journal of the Indian Society of Remote Sensing, 40, 167–178.

    Article  Google Scholar 

  • Hanzo, L., Münster, M., Choi, B., & Keller, T. (2004). OFDM and MC-CDMA: Wiley, March.

  • Hossain, M. A., Elshafiey, I., Alkanhal, M. A., Mabrouk, A. (2011). “Adaptive UWB-OFDM synthetic aperture radar,” in Electronics, Communications and Photonics Conference (SIECPC), Saudi International, 2011:1–6.

  • Hossain, M. A., Elshafiey, I., & Alkanhal, M. A. (2011). “High resolution UWB SAR based on OFDM architecture,” in Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on, pp. 1–4.

  • Hossain, M. A., Elshafiey, I., Alkanhal, M. A., & Mabrouk, A. (2011). “Antijamming capabilities of UWB-OFDM SAR,” in Radar Conference (EuRAD), 2011 European, pp. 313–316.

  • Hossain, M. A., Elshafiey, I., Alkanhal, M. A., & Mabrouk, A. (2011). “Real-time implementation of UWB-OFDM synthetic aperture radar imaging,” in Signal and Image Processing Applications (ICSIPA), 2011 i.e. International Conference on, pp. 450–455.

  • Kim, J.-H., Younis, M., Moreira, A., & Wiesbeck, W. (2013). “A novel OFDM chirp waveform scheme for use of multiple transmitters in SAR,” geoscience and remote sensing letters. IEEE, 10, 568–572.

  • Krieger, K. (2013). “MIMO-SAR: Opportunities and pitfalls”.

  • Lim, S., Hwang, C., Kim, S., & Myung, N. (2011). ShiftingMIMO SAR system for high-resolution wide-swath imaging. Journal of Electromagnetic Waves and Applications, 25, 1168–1178.

  • McGinley, B., O’Halloran, M., Conceicao, R., Higgins, G., Jones, E., & Glavin, M. (2011). “The effects of compression on ultra wideband radar signals,” Progress in electromagnetics research, 117.

  • Nikolov, S., Hill, P., Bull ,D., & Canagarajah, N. (2001). “Wavelets for image fusion,” in wavelets in signal and image analysis, ed: Springer, pp. 213–241.

  • Pande, H., Tiwari, P. S., & Dobhal, S. (2009). Analyzing hyper-spectral and multi-spectral data fusion in spectral domain. Journal of the Indian Society of Remote Sensing, 37, 395–408.

  • Prokopidis, K., & Tsiboukis, T. (2007). Modeling of groundpenetrating radar for detecting buried objects in dispersive soils. Applied Computational Electromagnetics Society Journal, 22, 287.

  • Soumekh, M. (1999). Synthetic aperture radar signal processing. New York: Wiley.

  • Wang, W.-Q. (2011). “Space–time coding MIMO-OFDM SAR for highresolution imaging”, geoscience and remote sensing. IEEE Transactions on, 49, 3094–3104.

  • Wang, W.-Q. (2013a). “MIMO SAR imaging: potential and challenges”, aerospace and electronic systems magazine. IEEE, 28, 18–23.

  • Wang, W.-Q. (2013b). “Mitigating range ambiguities in high-PRF SAR with OFDM waveform diversity”, geoscience and remote sensing letters. IEEE, 10, 101–105.

  • Wang, W.-Q. (2012). “Virtual antenna array analysis for MIMO synthetic aperture radars,” International Journal of Antennas and Propagation, 2012.

  • Weiss, L. G. (1994). Wavelets and wideband correlation processing. IEEE Signal Processing Magazine, 1, 20.

  • Woo, J.-C., Lim, B.-G., & Kim, Y.-S. (2011). Modification of the recursive sidelobe minimization technique for the range-doppler algorithm of SAR imaging. Journal of Electromagnetic Waves and Applications, 25, 1783–1794.

  • Wood, S. R., & Aiello, R. (2008). Essentials of UWB. New York: Cambridge University Press.

  • Xu, W., Huang, P., & Deng, Y.-K. (2011). “MIMO-TOPS MODE for highresolution ultra-wide-SWATH full polarimetric imaging,” Progress In Electromagnetics Research, 121.

  • Zhuge, X., & Yarovoy, A. G. (2011). “A sparse aperture MIMOSAR-based UWB imaging system for concealed weapon detection”, geoscience and remote sensing. IEEE Transactions on, 49, 509–518.

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Acknowledgment

This work is funded by the National Plan for Science and Technology, Kingdom of Saudi Arabia, under project number: 08-ELE262-2.

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Authors and Affiliations

  1. Department of Electrical Engineering, King Saud University, 11421, Riyadh, Saudi Arabia

    Md Anowar Hossain, Ibrahim Elshafiey & Majeed A. S. Alkanhal

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  1. Md Anowar Hossain
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  2. Ibrahim Elshafiey
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  3. Majeed A. S. Alkanhal
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Correspondence to Md Anowar Hossain.

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Hossain, M.A., Elshafiey, I. & Alkanhal, M.A.S. High-resolution and Wide-swath UWB OFDM MIMO Synthetic Aperture Radar System Using Image Fusion. J Indian Soc Remote Sens 43, 225–242 (2015). https://doi.org/10.1007/s12524-014-0406-4

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  • DOI: https://doi.org/10.1007/s12524-014-0406-4

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