The Method for Outliers Excluding of Shipborne Radar Data Based on Wavelet Transform
Authors
Zhiheng Zhou, Jianjun Zhao, Deyi Sang, Libin Yang
Corresponding Author
Zhiheng Zhou
Available Online December 2015.
- DOI
- 10.2991/icamia-15.2015.23How to use a DOI?
- Keywords
- component; shipborne radar, wavelet transform, criterion, outliers excluding
- Abstract
In the dynamic process of warship combat system alignment, the data of shipboard radar measurement at sea calibration object contains outliers with trend item, it can not simply be excluded based on some statistical algorithms. In this paper, an outliers excluding algorithm was proposed based on wavelet transform combine with Laiyite criterion, in the algorithm trend item of data was removed based on wavelet transform first, then exclude the remained outliers in the data according to Laiyite criterion, then merge the trend items in the last, so the outliers excluding of shipborne radar data with trend items was achieved.
- 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/).
Cite this article
TY - CONF AU - Zhiheng Zhou AU - Jianjun Zhao AU - Deyi Sang AU - Libin Yang PY - 2015/12 DA - 2015/12 TI - The Method for Outliers Excluding of Shipborne Radar Data Based on Wavelet Transform BT - Proceedings of the 2015 International Conference on Advanced Manufacturing and Industrial Application PB - Atlantis Press SP - 92 EP - 95 SN - 2352-5401 UR - https://doi.org/10.2991/icamia-15.2015.23 DO - 10.2991/icamia-15.2015.23 ID - Zhou2015/12 ER -