Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

Study on Optimal Station Distribution Based on TDOA Measurements

Authors
Shun Sun, Zhiguo Wang, Zhi Wang
Corresponding Author
Shun Sun
Available Online September 2016.
DOI
10.2991/iccia-16.2016.53How to use a DOI?
Keywords
Passive location; TDOA; Station distribution; GDOP.
Abstract

The optimal stations distribution for a single source target is proposed to improve performance of four stations passive location system based on time difference of arrival (TDOA) measurements. Geometrical dilution of precision (GDOP) is obtained by deriving Cramér-Rao Lower Bound (CRLB) firstly. Then three general conclusion are summarized by simulation and analysis about influence of four kinds of typical station distribution on GDOP, and the optimal station distribution is obtained to guide station distribution when multistations excute reconnaissance mission.

Copyright
© 2016, 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 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
10.2991/iccia-16.2016.53
ISSN
2352-538X
DOI
10.2991/iccia-16.2016.53How to use a DOI?
Copyright
© 2016, 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  - Shun Sun
AU  - Zhiguo Wang
AU  - Zhi Wang
PY  - 2016/09
DA  - 2016/09
TI  - Study on Optimal Station Distribution Based on TDOA Measurements
BT  - Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 283
EP  - 288
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.53
DO  - 10.2991/iccia-16.2016.53
ID  - Sun2016/09
ER  -