The Study of Prediction of Sensor System Errors for Maneuvering Target Tracking

DOI

10.2991/ic3me-15.2015.152How to use a DOI?

Keywords

maneuvering target tracking; system errors prediction; stochastic jump system

Abstract

Considering that it’s difficult to build target motion model in structure stochastic jump system, this paper studies system errors estimation. Based on the Maximum Likelihood (ML) estimation, a conclusion is drawn, that is, there exists a causal conjunction between system errors and state estimation. This paper proposes an algorithm to estimate system errors on line by combining an improved estimation algorithm of state parameters based on bootstrap filter and ML estimation. This demonstrates algorithm can be well adapted for non-linear and non-Gaussian problems. The simulation demonstrates the proposed algorithm is feasible and effective to estimate system errors for structure stochastic jump system when statistical property of system errors is considered.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guangjun He
AU  - Yanbin Li
AU  - Jianfeng Wu
AU  - Bin Liu
PY  - 2015/08
DA  - 2015/08
TI  - The Study of Prediction of Sensor System Errors for Maneuvering Target Tracking
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 792
EP  - 797
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.152
DO  - 10.2991/ic3me-15.2015.152
ID  - He2015/08
ER  -