@Article{jiot.2020.07196,
AUTHOR = {Jianfeng Lu, Guirong Fei},
TITLE = {Non-Linear Localization Algorithm Based on Newton Iterations},
JOURNAL = {Journal on Internet of Things},
VOLUME = {2},
YEAR = {2020},
NUMBER = {4},
PAGES = {129--134},
URL = {http://www.techscience.com/jiot/v2n4/40246},
ISSN = {2579-0080},
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.},
DOI = {10.32604/jiot.2020.07196}
}