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Non-Linear Localization Algorithm Based on Newton Iterations

Jianfeng Lu*, Guirong Fei

Institute of Information Technology, Taizhou Polytechnic College, Taizhou, 225300, China

* Corresponding Author: Jianfeng Lu. Email: email

Journal on Internet of Things 2020, 2(4), 129-134. https://doi.org/10.32604/jiot.2020.07196

Abstract

In order to improve the performance of time difference of arrival (TDOA) localization, a nonlinear least squares algorithm is proposed in this paper. Firstly, based on the criterion of the minimized sum of square error of time difference of arrival, the location estimation is expressed as an optimal problem of a non-linear programming. Then, an initial point is obtained using the semi-definite programming. And finally, the location is extracted from the local optimal solution acquired by Newton iterations. Simulation results show that when the number of anchor nodes is large, the performance of the proposed algorithm will be significantly better than that of semi-definite programming approach with the increase of measurement noise.

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Cite This Article

APA Style
Lu, J., Fei, G. (2020). Non-linear localization algorithm based on newton iterations. Journal on Internet of Things, 2(4), 129-134. https://doi.org/10.32604/jiot.2020.07196
Vancouver Style
Lu J, Fei G. Non-linear localization algorithm based on newton iterations. J Internet Things . 2020;2(4):129-134 https://doi.org/10.32604/jiot.2020.07196
IEEE Style
J. Lu and G. Fei, “Non-Linear Localization Algorithm Based on Newton Iterations,” J. Internet Things , vol. 2, no. 4, pp. 129-134, 2020. https://doi.org/10.32604/jiot.2020.07196



cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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