TDoA based UGV localization using adaptive kalman filter algorithm

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4 Scopus citations

Abstract

The measurement with a signal of time difference of arrival (TDoA) is a widely used technique in source localization. However, this method involves much nonlinear calculation. In this paper, we propose a method that needs less computation for UGV location tracking using extended Kalman filtering based on non linear TDoA measurements. To overcome the inaccurate results due to limited linear approximation, this paper suggests a position estimation algorithm based upon an adaptive fading Kalman filter. The adaptive fading factor enables the estimator to change the error covariance according to the real situation. Through the comparison with other analytical methods, simulation results show that the proposed localization method achieves an improved accuracy even with reduced computational efforts.

Original languageEnglish
Title of host publicationProceedings - 2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008
Pages99-103
Number of pages5
DOIs
StatePublished - 2008
Event2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008 - Hainan, China
Duration: 13 Dec 200815 Dec 2008

Publication series

NameProceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008
Volume4

Conference

Conference2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008
Country/TerritoryChina
CityHainan
Period13/12/0815/12/08

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