Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

SSR Surveillance Network Optimization With Terrain Masking and Lake Effect Consideration

Authors
Jing Guan, Hantian Qi, Hongying Wu
Corresponding Author
Jing Guan
Available Online May 2014.
DOI
https://doi.org/10.2991/lemcs-14.2014.111How to use a DOI?
Keywords
SSR Surveillance Network: optimization; coverage problem; approximation algorithm; heuristic
Abstract
In this paper, SSR surveillance network covering problem with obstructing affected by surface features and lakes was studied. The purpose is to improve the performance of SSR surveillance network, thus ensure the efficiency and safety management in airspace. The objective is to minimize the number of radar and the decision variable is the site of radar. Firstly, radar network covering problem without obstructing affect is studied. An approximation UFC algorithm was provided. Secondly, covering problem with shelter influence was taken into account. Additional notations were given and SFC algorithm was excuted for this problem. Finally, SSR surveillance network covering problem with obstructing affected by mountains and lakes was studied. We conclude the performance of our algorithm combined with an easy heuristic is stable and can always save one or two radar in the whole system compared to the easy heuristic algorithm.
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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-14.2014.111How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jing Guan
AU  - Hantian Qi
AU  - Hongying Wu
PY  - 2014/05
DA  - 2014/05
TI  - SSR Surveillance Network Optimization With Terrain Masking and Lake Effect Consideration
BT  - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.111
DO  - https://doi.org/10.2991/lemcs-14.2014.111
ID  - Guan2014/05
ER  -