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International Conference in Communications, Signal Processing, and Systems

CSPS 2017: Communications, Signal Processing, and Systems pp 2280–2287Cite as

Sense-Through-Foliage Target Detection Based on EMD and UWB Radar Sensor Networks

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

Abstract

In this paper, we propose to apply Empirical Mode Decomposition (EMD) approach to detect target hidden in foliage clutter based on data collected by Ultra Wide Band (UWB) radar. The EMD based target detection approach performs well when the radar signal quality is good. However, EMD approach fails to detect target when the radar signal quality is poor. In such case, Rake structure in RSN is applied to combine different radar echoes as preprocessing before EMD to achieve target detection task.

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References

  1. Liang, J., Liang, Q., Samn, S.W.: Foliage clutter modeling using the UWB radar. In: 2008 IEEE International Conference on Communications, Beijing, pp. 1937–1941 (2008)

    Google Scholar 

  2. Ayasli, S., Bessette, L.: UHF & VHF SAR phenomenology. In: Proceedings of PIERS, Workshop on Advances in Radar Methods, Baveno, Italy (1998)

    Google Scholar 

  3. Nashashibi, A.Y., Sarabandi, K., Oveisgharan, S., Dobson, M.C., Walker, W.S., Burke, E.: Millimeter-wave measurements of foliage attenuation and ground reflectivity of tree stands at nadir incidence. IEEE Trans. Antennas Propag. 52(5), 1211–1222 (2004)

    Google Scholar 

  4. Nashashibi, A.Y., Ulaby, F.T.: Detection of stationary foliage-obscured targets by polarimetric millimeter-wave radar. IEEE Trans. Geosci. Remote Sens. 43(1), 13–23 (2005)

    Google Scholar 

  5. Liang, Q.: Radar sensor wireless channel modeling in foliage environment: UWB versus narrowband. IEEE Sens. J. 11(6), 1448–1457 (2011)

    Google Scholar 

  6. Liang, Q., Samn, S.W., Cheng, X.: UWB radar sensor networks for sense-through-foliage target detection. In: 2008 IEEE International Conference on Communications, Beijing, pp. 2228–2232 (2008)

    Google Scholar 

  7. Liang, J., Liang, Q.: Sense-through-foliage target detection using UWB radar sensor networks. Pattern Recogn. Lett. 31(11), 1412–1421 (2010)

    Google Scholar 

  8. Maherin, I., Liang, Q.: A mutual information based approach for target detection through foliage using UWB radar. In: 2012 IEEE International Conference on Communications (ICC), Ottawa, ON, pp. 6406–6410 (2012)

    Google Scholar 

  9. Maherin, I., Liang, Q.: Radar sensor network for target detection using Chernoff information and relative entropy. Phys. Commun. 13, 244–252 (2014)

    Google Scholar 

  10. Liang, Q., Cheng, X., Huang, S., Chen, D.: Opportunistic sensing in wireless sensor networks: theory and applications. IEEE Trans. Comput. 63(8), 2002–2010 (2014)

    Google Scholar 

  11. Liang, Q., Cheng, X., Samn, S.W.: NEW: network-enabled electronic warfare for target recognition. IEEE Trans. Aerosp. Electron. Syst. 46(2), 558–568 (2010)

    Google Scholar 

  12. Wu, Z., Huang, N.E.: Ensemble empirical mode decomposition: a noise-assisted data analysis method. Adv. Adapt. Data Anal. 1(01), 1–41 (2009)

    Google Scholar 

  13. Guan, J., Zhang, J., Liu, N., Li, B.: Time-frequency entropy of Hilbert-Huang transformation for detecting weak target in sea clutter. In: IEEE Radar Conference. Pasadena, CA, pp. 1–5 (2009)

    Google Scholar 

  14. Chen, P.H., Shastry, M.C., Lai, C.P., Narayanan, R.M.: A portable real-time digital noise radar system for through-the-wall imaging. IEEE Trans. Geosci. Remote Sens. 50(10), 4123–4134 (2012)

    Google Scholar 

  15. Li, J., Liu, L., Zeng, Z., Liu, F.: Advanced signal processing for vital sign extraction with applications in UWB radar detection of trapped victims in complex environments. IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens. 7(3), 783–791 (2014)

    Google Scholar 

  16. Flandrin, P., Rilling, G., Goncalves, P.: Empirical mode decomposition as a filter bank. IEEE Signal Process. Lett. 11(2), 112–114 (2004)

    Google Scholar 

  17. Dill, C.: Foliage penetration (Phase II) field test: narrowband versus wideband foliage penetration, Final report of contract, (F41624–03), July 2005

    Google Scholar 

  18. Huang, N.E., et al.: The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. Roy. Soc. Lond. A Math. Phys. Eng. Sci. 454(1971), 903–995 (1998)

    Google Scholar 

  19. Daubechies, I.: The wavelet transform, time-frequency localization and signal analysis. IEEE Trans. Inf. Theory 36(5), 961–1005 (1990)

    Google Scholar 

  20. Wang, G., et al.: On intrinsic mode function. Adv. Adapt. Data Anal. 2(03), 277–293 (2010)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, 76019-0016, USA

    Ganlin Zhao & Qilian Liang

Authors
  1. Ganlin Zhao
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  2. Qilian Liang
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Corresponding author

Correspondence to Ganlin Zhao .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Xuhong Feng

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2019 Springer Nature Singapore Pte Ltd.

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Zhao, G., Liang, Q. (2019). Sense-Through-Foliage Target Detection Based on EMD and UWB Radar Sensor Networks. 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_278

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_278

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

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