RATR of adaptive angular-sector segmentation based on grey incidence analysis model
Abstract
Purpose
The purpose of this paper is to solve the azimuth sensitivity of a high-resolution range profile (HRRP), which is one of the biggest obstacles faced by a radar automatic target recognition (RATR) system.
Design/methodology/approach
Aimed at addressing the shortcomings of the equal angular-sector segmentation based on the scatterer model, an adaptive angular-sector segmentation is proposed on the basis of grey incidence analysis (GIA).
Findings
The main conclusions reached are as follows. First, the adaptive angular-sector segmentation in terms of GIA is suitable for RATR based on the HRRP; and, second, the adaptive angular-sector segmentation based on the type-B degree of grey incidence model is better than the Deng-Si degree of grey incidence model and the degree of grey slope incidence model.
Practical implications
The outcome obtained in this paper can be selected for the RATR application.
Originality/value
This paper has been built on the basis of previous research achievements, and a new RATR method of adaptive angular-sector segmentation is presented based on the GIA.
Keywords
Acknowledgements
This project was supported by the China National Natural Science Foundation (61371170), the Science and Technology Foundation of the Education Department of Jiangxi Province (GJJ150754) and the Scientific Research Startup Foundation of Nanchang Hangkong University (EA201504015).
Citation
Xiao, Y., Huang, L. and Zhou, J. (2017), "RATR of adaptive angular-sector segmentation based on grey incidence analysis model", Grey Systems: Theory and Application, Vol. 7 No. 1, pp. 71-79. https://doi.org/10.1108/GS-09-2016-0034
Publisher
:Emerald Publishing Limited
Copyright © 2017, Emerald Publishing Limited