Maneuvering target tracking algorithm based on current statistical model in three dimensional space

Ligang Huang; Kang Yan; Xiangdong Wang

doi:10.1117/12.2197147

6 July 2015 Maneuvering target tracking algorithm based on current statistical model in three dimensional space

Ligang Huang, Kang Yan, Xiangdong Wang

Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 96311N (2015) https://doi.org/10.1117/12.2197147
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

Abstract

This paper is mainly to solve the problems associated with maneuvering target tracking based current statistical model in three dimensional space. Firstly, a three-dimensional model of the nine state variables is presented. Then adaptive Kalman filtering algorithm is designed with the motor acceleration data mean and variance. Finally, A simulation about the adaptive Kalman filtering put forward by this thesis and the direct calculation method is given, which aim at the maneuvering target in three-dimension. The results show the good performances such as better target position, velocity and acceleration estimates brought by the proposed approach by presenting and discussing the simulation results.

Citation Download Citation

Ligang Huang, Kang Yan, and Xiangdong Wang "Maneuvering target tracking algorithm based on current statistical model in three dimensional space", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96311N (6 July 2015); https://doi.org/10.1117/12.2197147

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