The Method for Outliers Excluding of Shipborne Radar Data Based on Wavelet Transform

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/).

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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  -