Fault-tolerant cooperative target tracking in distributed UAV networks

Kim, Yoonsoo, Gu, Da-Wei and Postlethwaite, Ian (2008) Fault-tolerant cooperative target tracking in distributed UAV networks. In: 17th IFAC World Congress, 6-11 July 2008, South Korea.

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Official URL: http://dx.doi.org/10.3182/20080706-5-KR-1001.01500

Abstract

In this paper, we propose a target tracking scheme for operation in distributed UAV networks in which sensors may read the target position incorrectly. The proposed scheme operates two algorithms concurrently: semi-decentralized dynamic data fusion and fault detection. The semi-decentralized dynamic data fusion algorithm employs a median-consensus algorithm using extended non-faulty neighbours (whose sensor readings for the target position are within a prescribed tolerance level) and subsequently makes local estimates of the target position converge to nearly the actual target position. Meanwhile, the fault detection algorithm first asks each UAV to find the global median of the local target position through extended neighbours, and then diffuses the determined global median to all the UAVs in the network. As a result, the fault detection algorithm allows UAVs to detect and isolate faulty sensors quickly and to carry on target tracking in the semi-decentralized dynamic data fusion mode. As opposed to existing target tracking schemes, the proposed scheme is deterministic and guarantees the complete detection and isolation of faulty sensors on UAVs and thus successful target tracking. Numerical examples are provided to support the developed ideas.

Item Type: Conference or Workshop Item (Paper)
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics and Information Sciences
Depositing User: Sarah Howells
Date Deposited: 29 Oct 2012 10:25
Last Modified: 10 Aug 2015 11:31
URI: http://nrl.northumbria.ac.uk/id/eprint/10083

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