Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)

Improved localization algorithm with FDOA measurements

Authors
Ya-Xiao Niu, Shan-Wei Shi, Chun-Dong Qi, Zhi-Jie Zheng
Corresponding Author
Ya-Xiao Niu
Available Online December 2016.
DOI
10.2991/eeeis-16.2017.94How to use a DOI?
Keywords
passive location; FDOA; Newton's iterative.
Abstract

Localization with FDOA measurements is an important passive location method. Traditional solution to nonlinear equations is Newton's iterative method. However, this method may encounter convergence problems. This paper proposes an algorithm that can find initial estimates by dividing target area into girds and improve Newton's iterative method by combining a grid search. A simulation is given to verify the algorithm.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
10.2991/eeeis-16.2017.94
ISSN
2352-5401
DOI
10.2991/eeeis-16.2017.94How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ya-Xiao Niu
AU  - Shan-Wei Shi
AU  - Chun-Dong Qi
AU  - Zhi-Jie Zheng
PY  - 2016/12
DA  - 2016/12
TI  - Improved localization algorithm with FDOA measurements
BT  - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
PB  - Atlantis Press
SP  - 764
EP  - 770
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-16.2017.94
DO  - 10.2991/eeeis-16.2017.94
ID  - Niu2016/12
ER  -