Algorithm for bearings-only passive localization based on UKF

DOI

10.2991/iwmecs-18.2018.87How to use a DOI?

Keywords

passive localization; bearings-only; unscented Kalman filter

Abstract

In order to improve the precison and the speed of passive localization ,as well as meet the high applicable values requirements, a passive localization algorithm based on the Unscented Kalman Filtering is proposed.The main idea is to use the Filtering algorithm to solve the sensor information fusion problems;and utlize the Unscented Kalman Filtering algorithm to eliminate the gauss noise of the nonlinear state-space equations?thus achieving fast and high-precision localization .Simulation results show that the algorithm has good feasibility,high precision, high speed and high applicable values.

Copyright

© 2018, 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  - Xiaoming Geng
AU  - Yujun Suo
AU  - Hongyue Yang
PY  - 2018/04
DA  - 2018/04
TI  - Algorithm for bearings-only passive localization based on UKF
BT  - Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SP  - 405
EP  - 409
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.87
DO  - 10.2991/iwmecs-18.2018.87
ID  - Geng2018/04
ER  -