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Three Dimensional SAR Imaging Algorithms via a UWB Radar Sensor

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

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Abstract

Combining SAR imaging technique with a UWB radar sensor can realize high resolution imaging of targets. It has important research value in environment investigation and inter surveillance. In this paper, three dimensional SAR imaging is investigated based on the one dimensional echo signal of UWB at different locations and time. The UWB SAR image reconstruction is realized by Hamming window function optimization, image registration and interpolation. The reconstruction imaging of the metal ball with centimeter resolution is realized, which verifies the feasibility of the imaging system in this research for 3D SAR imaging.

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References

  1. Charvat, G.L.: Small and short-range radar systems. CRC Press/Taylor Francis Group, Boca Raton (2014)

    Google Scholar 

  2. Lou, J., Jin, T., Zhou, Z.: Feature extraction for landmine detection in UWB SAR VIA SWD and ISOMAP. Prog. Electromagnet. Res. 138, 157–171 (2013)

    Google Scholar 

  3. Le, C., Dogaru, T., Nguyen, L., Ressler, M.A.: Ultrawideband (UWB) radar imaging of building interior: measurements and predictions. IEEE Trans. Geosci. Remote Sens. 47(5), 1409–1420 (2009)

    Google Scholar 

  4. Oloumi, D., Ting, J.W., Rambabu, K.: Design of pulse characteristics for near-field UWB-SAR imaging. IEEE Trans. Microw. Theory Tech. 64(8), 2684–2693 (2016)

    Google Scholar 

  5. Hantscher, S., Reisenzahn, A., Diskus, C.G.: Through-wall imaging with a 3-D UWB SAR algorithm. IEEE Signal Process. Lett. 15, 269–272 (2008)

    Google Scholar 

  6. Arik, M., Akan, O.B.: Collaborative mobile target imaging in UWB wireless radar sensor networks. IEEE J. Sel. Areas Commun. 28(6), 950–961 (2010)

    Google Scholar 

  7. Chen, J., Liang, Q., Paden, J., Gogineni, P.: Compressive sensing analysis of synthetic aperture radar raw data. In: 2012 IEEE International Conference on Communications (ICC), pp. 6362–6366. IEEE (2012)

    Google Scholar 

  8. Suri, S., Türmer, S., Reinartz, P., Stilla, U.: Registration of high resolution SAR and optical satellite imagery in urban areas (2009)

    Google Scholar 

  9. Jun, S., Xiaoling, Z., Yang, J., Yinbo, W.: Surface-tracing-based LASAR 3-D imaging method via multiresolution approximation. IEEE Trans. Geosci. Remote Sens. 46(11), 3719–3730 (2008)

    Google Scholar 

  10. Qu, J., Yang, D., Liu, S., Zeng, H.: Broadband planar printed quasi-Yagi based on Vivaldi structure. In: 2015 10th International Conference on Communications and Networking in China (ChinaCom), pp. 17–21. IEEE (2015)

    Google Scholar 

  11. Munson, D.C., O’Brien, J.D., Jenkins, W.K.: A tomographic formulation of spotlight-mode synthetic aperture radar. Proc. IEEE 71(8), 917–925 (1983)

    Google Scholar 

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (61671138), the Fundamental Research Funds for the Central Universities Project No. ZYGX2015J021, and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry.

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Correspondence to Yang Zhang .

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Duan, Z., Zhao, Y., Liu, H., Zhang, J., Zhang, Y., Liang, J. (2019). Three Dimensional SAR Imaging Algorithms via a UWB Radar Sensor. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_150

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_150

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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