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A fast stealth trajectory planning algorithm for stealth UAV to fly in multi-radar network

Authors: Zhe Zhao; Yifeng Niu; Zhaowei Ma; Xiaoting Ji;

A fast stealth trajectory planning algorithm for stealth UAV to fly in multi-radar network

Abstract

Radar cross section (RCS) quantity of stealth Unmanned Aerial Vehicle (UAV) varies with angles of UAV body. Multi-radar network is a grave threat to stealth UAV as it is able to detect aircraft in different angles, which increases the risks of stealth UAV. Hence it's necessary to develop the trajectory planning algorithms for stealth UAV flying in multi-radar environment. In this essay, we introduce a fast trajectory planning algorithm to deal with such situation. A special A∗ algorithm considering UAV flight limitation and influence of all radars in the multi-radar network is designed. At last, a simulation experiment is implied to verify the efficiency of our algorithm.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Average
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