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Proceedings Paper

Adaptive fused Kalman filter based on imaging laser radar for TAN
Author(s): Junbin Gong; Hongbo Xu; Jinwen Tian; Hua Cheng; Jun Zhang
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Paper Abstract

Terrain aided navigation (TAN) is an efficient way to periodically correct the error accumulation of INS. The imaging laser radar is an ideal imaging sensor in TAN for the low-flying aircraft and unmanned air vehicles for the high precision multi-dimensional data acquisition capability and concealable attribute. In this paper, a new framework for applying the laser radar to terrain aided navigation is put forward. Then a new adaptive fused Kalman Filter is proposed to improve the accuracy and robustness. At last, the key factors affected the algorithm are analyzed and the comparative experimentations are presented. The simulating experiments show that the proposed algorithm improves the location accuracy, and has good initial error tolerance and fine robustness. It shows that this approach is a valid solution for the application.

Paper Details

Date Published: 15 November 2007
PDF: 9 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870W (15 November 2007); doi: 10.1117/12.748845
Show Author Affiliations
Junbin Gong, Huazhong Univ. of Science and Technology (China)
Hongbo Xu, Huazhong Normal Univ. (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)
Hua Cheng, Huazhong Univ. of Science and Technology (China)
Jun Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing

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