TDOA collaborative localization algorithm based on PSO and Newton iteration in WGS-84 coordinate system

In time difference of arrival (TDOA) location system, the cooperative localization algorithm based on Particle swarm optimization (PSO) and Taylor series not only solves the problem that particle swarm is easy to fall into local optimum, but also avoids the inappropriate initial value which leads to...

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Published in2016 IEEE 13th International Conference on Signal Processing (ICSP) pp. 1571 - 1575
Main Authors Li-peng Gao, Heng Sun, Meng-nan Liu, Yi-lin Jiang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2016
Subjects
Collaboration
Convergence
cooperative algorithm
Layout
Mathematical model
newton iterative algorithm
Particle swarm optimization
Signal processing algorithms
site layout
Taylor series
WGS-84 coordinate
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Summary:In time difference of arrival (TDOA) location system, the cooperative localization algorithm based on Particle swarm optimization (PSO) and Taylor series not only solves the problem that particle swarm is easy to fall into local optimum, but also avoids the inappropriate initial value which leads to non convergence of Newton iterative algorithm. In practical applications, the coordinate information of observation station is usually obtained by GPS localization. Therefore, this paper proposed the influence of different site layouts on the positioning accuracy in WGS-84 coordinate system using collaborative localization method. Simulation results show that the cooperative localization algorithm has higher reliability and site layout has a great influence on the positioning accuracy of the cooperative localization algorithm. For the introduction of three types of site layout, collaborative localization algorithm in Triangle station layout has higher positioning accuracy.
ISBN:9781509013449
150901344X
ISSN:2164-5221
DOI:10.1109/ICSP.2016.7878090