Algorithm for bearings-only passive localization based on UKF
Xiaoming Geng, Yujun Suo, Hongyue Yang
Available Online April 2018.
- 10.2991/iwmecs-18.2018.87How to use a DOI?
- passive localization; bearings-only; unscented Kalman filter
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.
- © 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/).
Cite this article
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 -