A Training Sample Selection Method with Fusing GIP Statistic and Geography Information for Airborne Radar

A Training Sample Selection Method with Fusing GIP Statistic and Geography Information for Airborne Radar | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL Electronics Letters This is a preprint and has not been peer reviewed. Data may be preliminary. 4 April 2025 V1 Latest version Share on A Training Sample Selection Method with Fusing GIP Statistic and Geography Information for Airborne Radar Authors : Chenran Gao 0009-0008-1144-7947 , Wenchong Xie [email protected] , Yuanyi Xiong 0000-0001-6220-5712 , Wei Chen 0000-0002-0855-4767 , and Buqiu Tian Authors Info & Affiliations https://doi.org/10.22541/au.174374479.98848877/v1 347 views 172 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract A training sample selection method is proposed by fusing the generalized inner product (GIP) statistic with geography information to construct the fused metric of the sample set. Based on this metric, more suitable training samples are selected. The simulation results demonstrate that the proposed method exhibits excellent robustness in different clutter environments, particularly in complex ground environments containing discrete moving scatterers, where its clutter suppression performance is better than that of conventional methods. Supplementary Material File (a training sample selection method with fusing geography information and gip statistic for airborne radar.docx) Download 682.96 KB Information & Authors Information Version history V1 Version 1 04 April 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Collection Electronics Letters Keywords airborne radar radar radar clutter Authors Affiliations Chenran Gao 0009-0008-1144-7947 Radar Academy View all articles by this author Wenchong Xie [email protected] Wuhan Early Warning Academy View all articles by this author Yuanyi Xiong 0000-0001-6220-5712 Wuhan Radar Academy View all articles by this author Wei Chen 0000-0002-0855-4767 Wuhan University View all articles by this author Buqiu Tian University of Electronic Science and Technology of China View all articles by this author Metrics & Citations Metrics Article Usage 347 views 172 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Chenran Gao, Wenchong Xie, Yuanyi Xiong, et al. A Training Sample Selection Method with Fusing GIP Statistic and Geography Information for Airborne Radar. Authorea . 04 April 2025. 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