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http://dx.doi.org/10.5370/KIEE.2012.61.2.284

Linear Robust Target Tracking Filter Using the Range Differences Measured By Formation Flying Multiple UAVs  

Lee, Hye-Kyung (한동대학교 기계제어공학부)
Han, Seul-Ki (연세대학교 전기전자공학과)
Ra, Won-Sang (한동대학교 기계제어공학부)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.61, no.2, 2012 , pp. 284-290 More about this Journal
Abstract
This paper addresses a new passive target tracking problem using the range differences measured by cooperative UAVs. In order to solve the range difference based passive target tracking problem within the framework of linear robust state estimation, the uncertain linear measurement model which contains the stochastic parameter uncertainty is derived by using the noisy range difference measurements. To cope with the performance degradation due to the stochastic parameter uncertainty, the recently developed non-conservative robust Kalman filtering technique [1] is applied. For the cruciform formation flying UAVs, the relationship between the target tracking performance and the measurement errors is quantitatively analyzed. The proposed filter has practical advantages over the classical nonlinear filters because, for its recursive linear structure, it can provide satisfactory convergence properties and is suitable for real-time multiple UAVs applications. Through the simulations, the usefulness of the proposed method is demonstrated.
Keywords
Multiple UAVs; Passive target tracking; Range difference; Non-conservative robust Kalman filter;
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