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Reseach Article

Passive Source Localization in a Randomly Distributed Wireless Sensor Networks

by Muhammad Tabish Niaz, Dr. Adnan Ahmad Khan, Dr. Imran Shafi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 6
Year of Publication: 2011
Authors: Muhammad Tabish Niaz, Dr. Adnan Ahmad Khan, Dr. Imran Shafi
10.5120/2963-3955

Muhammad Tabish Niaz, Dr. Adnan Ahmad Khan, Dr. Imran Shafi . Passive Source Localization in a Randomly Distributed Wireless Sensor Networks. International Journal of Computer Applications. 24, 6 ( June 2011), 1-5. DOI=10.5120/2963-3955

@article{ 10.5120/2963-3955,
author = { Muhammad Tabish Niaz, Dr. Adnan Ahmad Khan, Dr. Imran Shafi },
title = { Passive Source Localization in a Randomly Distributed Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 6 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number6/2963-3955/ },
doi = { 10.5120/2963-3955 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:14.115176+05:30
%A Muhammad Tabish Niaz
%A Dr. Adnan Ahmad Khan
%A Dr. Imran Shafi
%T Passive Source Localization in a Randomly Distributed Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 6
%P 1-5
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a source localization scheme using random arrays of Wireless Sensor Networks (WSN). A Total Least Square (TLS) estimator is proposed which improves the result of the location of source node. Using a relatively new Direction of Arrival (DOA) estimation technique Space Division Multiple Access (SDMA) receiver the proposed solution is able to perform localization in a multipath environment. The propose scheme considers both Line of Sight (LOS) and Non Line of Sight (NLOS) signals to perform the localization with the TLS estimator which is efficient than a simple Least Square (LS) estimator. Simulation results are included to demonstrate that the proposed solution provides an improved estimate by exploiting the NLOS information, SDMA receiver and using TLS estimator.

References
  1. X. Wang, Z.X. Wang, and B.O’. Dea, “A TOA-Based Location Algorithm Reducing the Errors Due to Non-Line-of-Sight (NLOS) Propagation,” IEEE Trans. Vehicular Technology, vol. 52, pp. 112-116, Jan. 2003.
  2. Y.T. Chan and K.C. Ho, “A Simple and Efficient Estimator for Hyperbolic Location,” IEEE Trans. Signal Processing, vol. 42, pp. 1905-1915, Aug. 1994.
  3. T. Roos, P. Myllymaki, and H. Tirri, “A Statistical Modeling Approach to Location Estimation,” IEEE Trans. Mobile Computing, vol. 1, no. 1, pp. 59-69, Jan.-Mar. 2002.
  4. Z.L. Wu, C.H. Li, J.K.Y. Ng, and K.R.P.H. Leung, “Location Estimation via Support Vector Regression,” IEEE Trans. Mobile Computing, vol. 6, no. 3, pp. 311-321, Mar. 2007.
  5. T. Ross, P. Myllymaki, H. Tirri, P. Misikangas, and J. Sievanen, “A Probabilistic Approach to WLAN User Location Estimation,” Int’l J. Wireless Information Networks, vol. 9, no. 3, July 2002.
  6. R. A. Poisel, Electronic Warfare Target Location Methods. Norwood, MA: Artech House, 2005.
  7. J. C. Liberti, T. S. Rappaport, Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications. Upper Saddle River, NJ: Prentice Hall, 1999
  8. R. Ertel et al., “Overview of Spatial Channel Models for Antenna Array Communications Systems.” IEEE Trans. on Personal Communications, Feb 1998, vol. 5, pp 10-22.
  9. J. C. Chen, K. Yao, R. E. Hudson, “Source Localization and Beamforming.” IEEE Signal Processing Magazine, Mar 2002, vol. 19, pp 30-39.
  10. P.C. Chen, “A Non-Line-of-Sight Error Mitigation Algorithm in Location Estimation,” Proc. IEEE Wireless Comm. Networking Conf. (WCNC ’99), vol. 1, pp. 316-320, 1999.
  11. S. Venkatraman, J. Caffery, and H.R. You, “Location Using LOS Range Estimation in NLOS Environments,” Proc. 55th IEEE Vehicular Technology Conf. (VTC Spring ’02), vol. 2, pp. 856-860, May 2002.
  12. N. Khajehnouri and A.H. Sayed, “A Non-Line-of-Sight Equalization Scheme for Wireless Cellular Location,” Proc. IEEE Int’l Conf. Acoustics, Speech, and Signal Processing (ICASSP ’03), vol. 6, pp. 549-552, Apr. 2003.
  13. J. Borras, P. Hatrack, and N.B. Mandayam, “Decision Theoretic Framework for NLOS Identification,” Proc. 48th IEEE Vehicular Technology Conf. (VTC ’98), vol. 2, pp. 1583-1587, 1998.
  14. L. Xiong, “A Selective Model to Suppress NLOS Signals in Angle of Arrival (AOA) Location Estimation,” Proc. Ninth IEEE Int’l Symp. Personal, Indoor, and Mobile Radio Comm. (PIMRC ’98), vol. 1, pp. 461-465, 1998.
  15. L. Cong and W.H. Zhuang, “Nonline-of-Sight Error Mitigation in Mobile Location,” IEEE Trans. Wireless Comm., vol. 4, pp. 560-572, Mar. 2005.
  16. Y.T. Chan, W.Y. Tsui, H.C. So, and P.C. Ching, “Time-of-Arrival Based Localization under NLOS Conditions,” IEEE Trans. Vehicular Technology, vol. 55, pp. 17-24, Jan. 2006.
  17. J. Li, J. Conan, and S. Pierre, “Mobile Station Location Estimation for MIMO Communication Systems,” Proc. Third Int’l Symp. Wireless Comm. Systems (ISWCS ’06), Sept. 2006.
  18. H.L. Miao, K. Yu, and M.J. Juntti, “Positioning for NLOS Propagation: Algorithm Derivations and Cramer-Rao Bounds,” Proc. IEEE Int’l Conf. Acoustics, Speech, and Signal Processing (ICASSP ’06), vol. 4, pp. 1045-1048, June 2006.
  19. C. Elam, “ Method and Apparatus for Space Division Multiple Access Receiver,” Patent No.6,823,021, Rights assigned to in Greenwich Technology Associates, One Soundview Way, Danen, CT. Nov 23, 2004.
  20. G. H. Golumb, C. F. Van Loan, An Analysis of the Total Least Square problem, SIAM, 1980
  21. G. H. Golumb, C. F. Van Loan, Matrix Computations, The Johns Hopkins University Press, Baltimore, 1996.
  22. L. N. Trefethen, D. Bau III, Numerical Linear Algebra, SIAM, Philadelphia, 1997
  23. F. Gross, Smart Antennas for wireless communication, New York, NY: Mc Graw Hill, 2005
Index Terms

Computer Science
Information Sciences

Keywords

Localization wireless sensor networks DOA TDOA SDMA receiver Least square Total Least Square Singular Value Decomposition Estimator MUSIC algorithm