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Journal of Software Engineering

Year: 2016 | Volume: 10 | Issue: 2 | Page No.: 185-191
DOI: 10.3923/jse.2016.185.191
A New Combined Algorithm of Positioning Based on the LSM and Taylor Series
Zhao Xiaoqiang, Zhang Pengbo, He Yafeng and Zhang Zhongkui

Abstract: In view of the taylor algorithm’s no convergent problem caused by the error between initial value and real value, a new combined positioning algorithm based on LSM and taylor series is proposed. Firstly, the measured values of time difference are processed by the LSM and then the results are used as the initial value of taylor algorithm, the final positioning result is provided through the method of taylor series expansion iterative. The acquisition method of measurement value of time difference is proposed, moreover, the affect of parameters on the performance of localization algorithm is discussed. Simulation results show that the algorithm not only has high accuracy, robust performance, but also overcomes the divergence of taylor algorithm.

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How to cite this article
Zhao Xiaoqiang, Zhang Pengbo, He Yafeng and Zhang Zhongkui, 2016. A New Combined Algorithm of Positioning Based on the LSM and Taylor Series. Journal of Software Engineering, 10: 185-191.

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