Based on Wavelet Transform of TDOA/AOA Location Tracking Algorithm

Bao Quan Chen; Yong Yi Mao; Yang Yang; Ping Xu

doi:10.4028/www.scientific.net/AMM.427-429.1772

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Based on Wavelet Transform of TDOA/AOA Location...

Based on Wavelet Transform of TDOA/AOA Location Tracking Algorithm

Abstract:

In cellular network mobile station location, the actual measured values non-line-of-sight error exists, makes the precision positioning algorithm based on the measured value is lower, aiming at the effects of non-line-of-sight error on the positioning performance, this paper proposes a new algorithm to reduce non line-of-sight error. Using wavelet transform to signal de-noising effect, eliminate the error in the measured value and reuse method of TDOA/AOA location algorithm to estimate mobile station location, with a certain distance threshold to mobile station location tracking. Simulation results show that the algorithm can effectively improve the positioning precision in non line-of-sight environments, positioning result was significantly better than Chan algorithm and TDOA/AOA location method algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1772-1775

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1772

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Online since:

September 2013

Authors:

Bao Quan Chen, Yong Yi Mao, Yang Yang, Ping Xu

Keywords:

Mobile Station Location, Non-Line-Of-Sight Error, Tracking Algorithm, Wavelet Transform (WT)

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References

[1] Li Yu, Li Qing: Common wireless communication positioning technology research, Wireless Communication Technology, 2012, 21(1): 8-12.

Google Scholar

[2] Li Chuan: Accurate based on the Kalman filter target tracking, Communication Technology, 2009, 42(6): 205-207.

Google Scholar

[3] Stephan Sand, Christian Mensing, Mohamed Laaraiedh. Performance Assessment of Hybrid Data Fusion and Tracking Algorithms. ICT-MobileSummit 2009 Conference Proceedings Paul Cunningham and Miriam Cunningham (Eds). (2009).

Google Scholar

[4] Changlin Ma, R. Klukas, and G. Lachapelle: An Enhanced Two-Step Least Squared Approach for TDOA/AOA Wireless Location. Proceedings of ICC 2003, Anchorage, Alaska, USA, 11-15 May (2003).

DOI: 10.1109/icc.2003.1204495

Google Scholar

[5] Wang Huiqin; Wavelet Analysis and Applications, Bei Jing, Beijing University of Posts and Telecommunications Press, (2011).

Google Scholar