کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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564440 | 875598 | 2010 | 14 صفحه PDF | دانلود رایگان |
This paper deals with the problem of tracking a single maneuvering target from multiple platforms in the cluttered environment. A new solution based on H∞H∞ filtering is presented to relax the requirement of a prior knowledge of the noise statistics in the conventional Kalman filter. The contribution of this paper is twofold. First, the distributed H∞H∞ filtering fusion formulae for single model are developed. Second, in order to carry out distributed fusion within the multiple model framework, novel equivalent platform and global models are constructed using the best fitting Gaussian approximation approach so that the developed distributed fusion formulae can be applied directly in the fusion center. The effectiveness of the proposed algorithm is demonstrated through Monte Carlo simulations involving tracking of a highly maneuvering target in the three-dimensional (3D) experiment. The algorithm performs better in a simulated uncertain noise statistics scenario than the Kalman filtering counterpart.
Journal: Signal Processing - Volume 90, Issue 5, May 2010, Pages 1655–1668