3-Dimensional Localization Algorithm Research Based on Weighted Fusion with Projected Coordinate

Article Preview

Abstract:

Due to the serious problem of wireless 3-Dimensional localization technology affected by geographical conditions and other signal jamming, we proposed a new weighted 3-Dimensional localization algorithm based on TDOA-AOA. In this new algorithm, we obtained two groups of 3-Dimensional projected coordinate values of every test point using joint algorithm of TDOA and AOA. Then after weighted scaling, we got the localization coordinate of the point. It is proved by multiple sets of simulation experiments that this algorithm with data weighting can effectively reduce the localization error caused by the environmental interference, and thus ensure the accuracy and effectiveness of the results.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1394-1400

Citation:

Online since:

January 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] XU En-yang, ZHI Ding, DASGUPTA S. Source localization in wireless sensor networks from signal time-of-arrival measurements [J]. IEEE Transactions on Signal Processing, (2011).

DOI: 10.1109/tsp.2011.2116012

Google Scholar

[2] ZHANG Hao, YU Mei, CUI Xue-rong, et al. An improved Taylor series based location algorithm for IEEE 802. 15. 4a channels[C]. Proceedings of 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing. Victoria, B C, Canada: IEEE, 2011: 499-503.

DOI: 10.1109/pacrim.2011.6032944

Google Scholar

[3] ZHANG V Y, WONG A K, WOOK K T, et al. Hybrid TOA/AOA-based mobile localization with and without tracking in CDMA cellular networks[C]/Proceedings of 2010 IEEE Wireless Communications and Networking Conference. Sydney, Australia: IEEE, 2010: 1-6.

DOI: 10.1109/wcnc.2010.5506585

Google Scholar

[4] YU Y, Silverman H F. An Improved TDOA-based Location Estimation Algorithm for Large Aperture Microphone Arrays [A]. ICASSP, 2004, 4: 77-80.

DOI: 10.1109/icassp.2004.1326767

Google Scholar

[5] LAYKT, CHAOWK. Mobile positioning based on TOA/TSOA/TDOA measurements with NLOS error reduction[c]/Proceedings of 2005 International Symposium on Intelligence Signal Processing and Communication Systems. Hong Kong, China: IEEE, 2005: 545-548.

DOI: 10.1109/ispacs.2005.1595467

Google Scholar

[6] Ryosuke Fujiwara Kenichi Mizugaki Tatsuo Nakagawa TOA/TDOA Hybrid Relative Positioning System Using UWB-IR[J], IEEE Radio and Wireless Symposium, 2009, 18(22): 679-682.

DOI: 10.1109/rws.2009.4957443

Google Scholar

[7] L. Cong and W. Zhang, Hybrid TDOA/AOA mobile user location for wideband CDMA cellular system[J]. IEEE Trans. Wireless Communications, 2002. 1(3): 439-447.

DOI: 10.1109/twc.2002.800542

Google Scholar

[8] ZHANG Jian-Wu, YU Cheng-lei, TANG Bin, et al. Chan location algorithm application in 3-Dimension space location[C]/Proceedings of International Colloquium on Computing, Communication, Control, and management 2008. Guangzhou, China: IEEE, 2008: 622-625.

DOI: 10.1109/cccm.2008.76

Google Scholar

[9] C. Ma, R. Klukas, and G. Lachapelle. An enhanced two-step least squared approach for TDOA/AOA wireless location[C]. IEEE International Conference on Comm. vol. 2, 2003: 987-991.

DOI: 10.1109/icc.2003.1204495

Google Scholar

[10] CHAN Y T, HANG Y C, CHINH P C. Exact and approximate maximum likelihood localization algorithms[J]. IEEE Transactions on Vehicular Technology, 2006, 55(1): 10-16.

DOI: 10.1109/tvt.2005.861162

Google Scholar