Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
권호 표지
DOI QR코드

DOI QR Code

An Analysis of 2D Positional Accuracy of Human Bodies Detection Using the Movement of Mono-UWB Radar

  • Kiasari, Mohammad Ahangar (School of Electronic and Computer Engineering, Chonnam National University) ;
  • Na, Seung You (School of Electronic and Computer Engineering, Chonnam National University) ;
  • Kim, Jin Young (School of Electronic and Computer Engineering, Chonnam National University)
  • Received : 2014.03.03
  • Accepted : 2014.05.22
  • Published : 2014.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper considers the ability of counting and positioning multi-targets by using a mobile UWB radar device. After a background subtraction process, distinguishing between clutters and human body signals, the position of targets will be computed using weighted Gaussian mixture methods. While computer vision offers many advantages, it has limited performance in poor visibility conditions (e.g., at night, haze, fog or smoke). UWB radar can provide a complementary technology for detecting and tracking humans, particularly in poor visibility or through-wall conditions. As we know, for 2D measurement, one method is the use of at least two receiver antennas. Another method is the use of one mobile radar receiver. This paper tried to investigate the position detection of the stationary human body using the movement of one UWB radar module.

Keywords

References

  1. P. K. Verma, A. N. Gaikwad, D. Singh, and M. J. Nigam, "Analysis of clutter reduction techniques for through wall imaging in UWB range", Progress in Electromagnetics Research B, Vol. 17, pp. 29-48, 2009. https://doi.org/10.2528/PIERB09060903
  2. R. Zetik, S. Crabbe, J. Krajnak, P. Peyerl, J. Sachs, and R. Thoma, "Detection and localization of persons behind obstacles using Msequence through-the-wall radar", in Proc. SPIE, Sensors, and Command, Control, Communications, and Intelligence, p. 62010, Orlando, Florida, 2006.
  3. M. Piccardi, "Background subtraction techniques: A review", in Proc. IEEE SMC 2004 Int. Conf. Systems, Man Cybernetics, pp. 3099-3104, Hague, the Netherlands, 2004.
  4. S. Yano, "Investigating the ultra-wideband indoor wireless channel", in Proc. IEEE VTC Spring Conf, pp. 1200-1204, Huntsville, AL, USA, 2002.
  5. I. S. Choi, D. K. Seo, J. K. Bang, H. T. Kim, and E. J. Rothwell, "Radar target recognition using one-dimensional evolutionary programming- based clean", J. Electromagn. Waves Applicat., Vol. 17, No. 5, pp. 763-784, 2003. https://doi.org/10.1163/156939303322226464
  6. S. Chang, N. Mitsumoto, and J. W. Burdick, "An algorithm for UWB radar based human detection", in Proc. IEEE Radar Conference (RadarCon09), Pasadena, CA, 2009.
  7. S. Chang, R. Sharan, M. Wolf, N. Mitsumoto, and J. W. Burdick, "UWB radar-based tracking of human target tracking", in Proc. IEEE Radar Con, pp. 1-6, Pasadena, CA, 2009.
  8. R. Thoma, R. H. Knochel, and J. Sachs, "Ultra-wideband radio technologies for communication, localization and sensor applications", InTech., pp. 180-240, 2013.
  9. Y. Zhou, C. L. Law, Y. L. Guan, and F. Chin, "Localization of passive target based on UWB backscattering range measurement", in Proc. IEEE ICUWB, pp. 145-149, Singapore, Singapore, 2009.
  10. J. Svecova, D. Kocur, R. Zetik, and D. Rovnakova, "Target localization by a multistatic UWB Radar", 20th International Conference Radio-elektronika, pp. 1-4, Brno Czech Republic, 2010.
  11. R. Zetik, G. Shen and R. Thoma, "Evaluation of requirements for UWB localization systems in home-entertainment applications", International Conference on Indoor Positioning and Indoor Navigation, pp. 1-8, Zurich, Switzerland, 2010.
  12. Greneker III, E. F, "Radar sensing of heartbeat and respiration at a distance with security applications", Radar 97 (Conf. Publ. no. 449), pp. 150-154, Edinburgh, 1997.
  13. S. Gezici, Z. Tian, G. B. Giannakis, H. Kobayashi, A. F. Molisch, H.V. Poor, and Z. Sahinoglu, "Localization via ultra-wideband radios", IEEE Signal Processing Mag., Vol. 22, No. 4, pp. 70-84, 2005.
  14. S. Chang, R. Sharan, M. Wolf, N. Mitsumoto, and J. W. Burdick, "People tracking with UWB radar using a multiple-hypothesis tracking of clusters (MHTC) method", Springer International Journal of Social Robotics (Special issue on people detection and tracking), Vol. 16, No. 1, pp 3-18, 2010.
  15. J. Rovnakova and D. Kocur, "TOA estimation and data association for through wall tracking of moving targets", EURASIP Journal on Wireless Comm. and Networking, Vol. 2010, No. 7, pp. 1-11, 2010.
  16. S. Jovanoska and R. Thoma, "Multiple targets tracking by a distributed UWB sensor network based on the PHD filter", Proc. 15th Int. Conf. Information Fusion (FUSION), pp. 1095-1102, Singapore, Singapore, 2012.
  17. I. S. Baek, 1. H. Kim, 1. W. Choi, and S. H. Cho, "A positioning algorithm for multiple targets using a multi-static IR-UWB radar system", The 27th International Technical Conference on Circuits/Systems, Computers and Communications, Sapporo, Japan, 2012.

Cited by

  1. Low-Rank Matrix Recovery Approach for Clutter Rejection in Real-Time IR-UWB Radar-Based Moving Target Detection vol.16, pp.12, 2016, https://doi.org/10.3390/s16091409