UAV Distributed Swarm Situation Awareness Model

GAO Yang; LI Dongsheng; CHENG Zexin

doi:10.11999/JEIT170877

Volume 40 Issue 6

May 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(6): 1271-1278

GAO Yang, LI Dongsheng, CHENG Zexin. UAV Distributed Swarm Situation Awareness Model[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1271-1278. doi: 10.11999/JEIT170877

Citation:

GAO Yang, LI Dongsheng, CHENG Zexin. UAV Distributed Swarm Situation Awareness Model[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1271-1278. doi: 10.11999/JEIT170877

GAO Yang, LI Dongsheng, CHENG Zexin. UAV Distributed Swarm Situation Awareness Model[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1271-1278. doi: 10.11999/JEIT170877

Citation:

GAO Yang, LI Dongsheng, CHENG Zexin. UAV Distributed Swarm Situation Awareness Model[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1271-1278. doi: 10.11999/JEIT170877

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UAV Distributed Swarm Situation Awareness Model

doi: 10.11999/JEIT170877

Funds:

The National Natural Science Foundation of China (61179036), The National Defense Technology Innovation Special Zone Foundation of China (17-163-11-ZT-004-014-02)

Received Date: 2017-09-18
Rev Recd Date: 2018-01-10
Publish Date: 2018-06-19

Abstract

Abstract

The distributed swarm operation of unmanned systems represented by Unmanned Aerial Vehicle (UAV) is the growth point of the future war, and the swarm situation awareness is an important part. Based on the typical situation awareness model, the distributed swarm situation awareness of UAV is studied. Firstly, in the individual level, the mental model in the dynamic system of the Endsley1995 Situation Awareness (SA) model is modified as a human-computer intelligent model. Then in accordance with the UAV swarm type, isomorphic and heterogeneous, based on the team SA and Distributed SA (DSA) theory, the UAV swarm SA model are built. Then, the consensus and evaluation problems of UAV Swarm SA are analyzed. The consensus formation process of isomorphic UAV swarm SA and the consensus judgment method of heterogeneous UAV swarm SA are given. And the choice of UAV swarm SA evaluation method is analyzed. The analysis shows that the proposed swarm situation awareness model is corresponding to the swarm cooperative combat characteristics and has certain positive significance.
- Unmanned Aerial Vehicle (UAV) swarm,
- Swarm situation awareness,
- Distributed Situation Awareness (DSA),
- Consensus

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References(34)

References

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