Through Wall Human Detection Using Compressed UWB Radar Data

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)

Abstract

The technology for through wall human detection with UWB radar was discussed. Due to the large amount of UWB radar data, compressive sensing theory was introduced and compressed UWB radar data can be collected. The singular value decomposition algorithm was used to acquire the singular values of compressed radar data. The compressed UWB radar data were collected at still status of human being for Gypsum wall. The experimental results showed that the singular values with human target were increased relative to the status without target.

Keywords

Through wall human detection UWB radar Compressive sensing Singular value decomposition 

Notes

Acknowledgements

The authors would love to thank Professor Qilian Liang in University of Texas at Arlington for providing the UWB radar data. This research was supported by the Tianjin Younger Natural Science Foundation (12JCQNJC00400) and National Natural Science Foundation of China(61271411).

References

  1. 1.
    Zaikov E, Sachs J, Aftanas M, Rovnakova J (2008) Detection of trapped people by UWB radar. Micorwave Conf (GeMIC) German 3:1–4Google Scholar
  2. 2.
    Rovnakova J, Svecova M, Kocur D et al (2008) Signal processing for through wall moving target tracking by M-sequence UWB radar. 2008 18th international conference on Radioelektronika 4:1–4Google Scholar
  3. 3.
    Kocur D, Gamec J, Svecova M, Gamcova M, Rovnakova J (2010) Imaging mehtod: an efficient algorithm for moving target tracking by UWB radar. Acta Polytechnica Hungarica 7(3):5–24Google Scholar
  4. 4.
    Kocur D, Rovnakova J, Svecova M (2009) Through wall tracking of moving targets by M-sequence UWB radar. Studies Comput Intell 243:349–364CrossRefGoogle Scholar
  5. 5.
    Sachs J, Aftanas M, Crabbe S et al (2008) Detection and tracking of moving or trapped people hidden by obstacles using ultra-wideband pseudo-noise radar. Eur Radar Conf 10:408–411Google Scholar
  6. 6.
    Singh S, Liang Q, Chen D, Sheng L (2011) Sense through wall human detection using UWB radar. EURASIP J Wireless Comm Networking 20Google Scholar
  7. 7.
    Wei Wang, Xin Zhou, Baoju Zhang, Jiasong Mu. Anomaly detection in big data from UWB radars. Security and Comm Networks Accepted. doi: 10.1002/sec.745
  8. 8.
    Donoho DL (2006) Compressed sensing. IEEE Trans Inform Theor 52(4):1289–1306CrossRefMathSciNetGoogle Scholar
  9. 9.
    Candès E (2006) Compressive sampling. In: Proceedings of international congress of mathematicians, European Mathematical Society Publishing House, Madrid, Spain, pp 1433–1452Google Scholar
  10. 10.
    Candès E, Wakin M (2008) An introduction to compressive sampling. IEEE Signal Process Mag 25:21–30CrossRefGoogle Scholar
  11. 11.
    Averbuch A, Shai D, Shay D (2012) Adaptive compressed image sensing using dictionaries. SIAM J Imag Sci 5(1):57–89CrossRefMATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.College of Electronic and Communication EngineeringTianjin Normal UniversityTianjinChina

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