Analysis of Influence of key Parameter on the Performance of Levenberg-Marquardt Based Iteration Square Root Cubature Kalman Filter

DOI

10.2991/icsnce-16.2016.46How to use a DOI?

Keywords

Nonlinear filtering; Levenberg-Marquardt method; Re-entry ballistic targets

Abstract

The key parameter m has large influence on the performance of L-M method based Iteration square root cubature Kalman filter (ISRCKFLM) proposed to improve the low state estimation accuracy of nonlinear state estimation due to large initial estimation error and nonlinearity of measurement equation. We analyze the impact of the key parameter on performance of the ISRCKFLM algorithm for re-entry ballistic target tracking; and find the interval of the key parameter suitable for estimation accuracy and faster convergence speed.

Copyright

© 2016, 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  - Jing Mu
AU  - Changyuan Wang
PY  - 2016/07
DA  - 2016/07
TI  - Analysis of Influence of key Parameter on the Performance of Levenberg-Marquardt Based Iteration Square Root Cubature Kalman Filter
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 237
EP  - 241
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.46
DO  - 10.2991/icsnce-16.2016.46
ID  - Mu2016/07
ER  -