Radar Target Tracking Algorithm Based on Alpha-Beta Filtering

DOI

10.2991/ncce-18.2018.173How to use a DOI?

Keywords

Target tracking, Alpha-Beta filtering algorithm, Smooth and update.

Abstract

Coastal radar tracking refers to the process of processing measured values from a target, maintaining the current state of the target, and associating them with the current and subsequent states of the target and performing smooth updating. With quick development of coastal and port vessel surveillance, a big amount of target's tracking needs a high efficient tracking algorithm. For this purpose, combining radar tracking with Alpha-Beta filtering, an improved radar target tracking algorithm is proposed in this paper. And some simulation tracking results are given to make a comparison of Kalman filter and Alpha-Beta filter algorithm. The results show that the proposed algorithm is superior to the above algorithms, which can effectively improve the tracking accuracy, obtain more accurate tracking information of the radar target, and lead to a widely application value in Vessel Traffic Service system.

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  - Dong Zhang
AU  - Jianping Jiang
PY  - 2018/05
DA  - 2018/05
TI  - Radar Target Tracking Algorithm Based on Alpha-Beta Filtering
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 1037
EP  - 1042
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.173
DO  - 10.2991/ncce-18.2018.173
ID  - Zhang2018/05
ER  -