Integrated Navigation and Data Matching for Vehicle Augmented Reality System

Seong Yun Cho, Munkhzul Enkhtur, Kyong-Ho Kim

Abstract:	This paper describes the advanced finite impulse response (FIR)-type filter for nonlinear systems. In recent years, a modified receding horizon Kalman FIR (MRHKF) filter has been proposed [1]. The MRHKF filter modified the RHKF filter for applying it to nonlinear systems and for reducing the computational burden. This paper enhances the processing safety of the MRHKF filter. The stability of the MRHKF filter may be lost due to the weak degree of observability according to the trajectory. In this paper, the variable size horizon is used instead of the fixed size of horizon used in the MRHKF filter.
Published in:	Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012) September 17 - 21, 2012 Nashville Convention Center, Nashville, Tennessee Nashville, TN
Pages:	1674 - 1678
Cite this article:	Cho, Seong Yun, Enkhtur, Munkhzul, Kim, Kyong-Ho, "Integrated Navigation and Data Matching for Vehicle Augmented Reality System," Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012), Nashville, TN, September 2012, pp. 1674-1678.
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