Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

TDOA and AOA Combined Location Accuracy Analysis with Two Stations

Authors
Xinxin Ouyang, Jingmin Cao, Peiyan Zhao
Corresponding Author
Xinxin Ouyang
Available Online June 2017.
DOI
10.2991/caai-17.2017.97How to use a DOI?
Keywords
component; passive location; time difference of arrival (TDOA);direction of arrival (DOA); geometric dilution of precision(GDOP)
Abstract

In this paper, a TDOA (Time Difference of Arrival) and DOA (direction of arrival) combined passive location system with two stations is studied. The location of a target can be confirmed from the intersection of the hyperbolic curve defined by the TDOA and the direction ray defined by the DOA. A noniterative approach gives an explicit solution for the proposed system. Based on the model of the location system, the location accuracy is analyzed by calculating the geometric dilution of precision(GDOP), which shows how the factors such as TDOA accuracy and DOA accuracy affect the location accuracy. The results are evaluated by computer simulations.

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 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
10.2991/caai-17.2017.97
ISSN
1951-6851
DOI
10.2991/caai-17.2017.97How 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  - Xinxin Ouyang
AU  - Jingmin Cao
AU  - Peiyan Zhao
PY  - 2017/06
DA  - 2017/06
TI  - TDOA and AOA Combined Location Accuracy Analysis with Two Stations
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 429
EP  - 432
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.97
DO  - 10.2991/caai-17.2017.97
ID  - Ouyang2017/06
ER  -