RATR of adaptive angular-sector segmentation based on grey incidence analysis model. Issue 1 (6th February 2017)

• Record Type: Journal Article
• Authors: Xiao, Yongsheng; Huang, Lizhen; Zhou, Jianjiang
• Is Part Of: Grey systems. Volume 7:Issue 1(2017)
• Page Start: 71
• Page End: 79
• Publication Date: 2017-02-06
• Subjects: Grey incidence analysis -- Adaptive angular-sector segmentation -- Azimuth sensitivity -- Equal angular-sector segmentation -- Radar automatic target recognition; Cybernetics -- Periodicals; Systems engineering -- Periodicals; 003.5
• DOI: 10.1108/GS-09-2016-0034
• Languages: English
• ISSNs: 2043-9377

Abstract

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.