| Issue |
MATEC Web Conf.
Volume 175, 2018
2018 International Forum on Construction, Aviation and Environmental Engineering-Internet of Things (IFCAE-IOT 2018)
|
|
|---|---|---|
| Article Number | 02011 | |
| Number of page(s) | 4 | |
| Section | Building Equipment Automation | |
| DOI | https://doi.org/10.1051/matecconf/201817502011 | |
| Published online | 02 July 2018 | |
Research on Background Knowledge Based Software Processing Method of Target Height Measurement for 3D Radar
1
No. 38 Research Institute of CETC, Hefei 230088, China
2
Key Laboratory of Aperture Array and Space Application, Hefei 230088, China
a Corresponding author : cetcxblin@163.com
The three-dimensional (3D) radar can detect 3D information of air targets, including range, azimuth and height. It is considered as an important equipment of the air defense detection system in various countries. The precision of target height measurement is the key challenge in radar detection due to the influences of the complex background environment of air targets. This paper considers the background knowledge during target detection. By using the background knowledge of radar position meteorological parameters and multi-dimensional radar position RAG maps etc., this paper proposes an integrated software processing method to improve the precision of target height measurement for 3D radar and designs a height confidence evaluation model to improve the fusion precision of height information in the superior command unit of the radar.
© The Authors, published by EDP Sciences 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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