{"title":"基于gis统计和地理信息融合的机载雷达训练样本选择方法","authors":"Chenran Gao, Wenchong Xie, Yuanyi Xiong, Wei Chen, Buqiu Tian","doi":"10.1049/ell2.70345","DOIUrl":null,"url":null,"abstract":"<p>A training sample selection method is proposed by fusing the generalized inner product (GIP) statistic with geographic information to construct the fused metric of the sample set. Based on this metric, more suitable training samples are selected. The experimental 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 superior to that of both GIP and knowledge-aided space-time adaptive processing (KA-STAP) methods.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70345","citationCount":"0","resultStr":"{\"title\":\"A Training Sample Selection Method With Fusing GIP Statistic and Geographic Information for Airborne Radar\",\"authors\":\"Chenran Gao, Wenchong Xie, Yuanyi Xiong, Wei Chen, Buqiu Tian\",\"doi\":\"10.1049/ell2.70345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A training sample selection method is proposed by fusing the generalized inner product (GIP) statistic with geographic information to construct the fused metric of the sample set. Based on this metric, more suitable training samples are selected. The experimental 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 superior to that of both GIP and knowledge-aided space-time adaptive processing (KA-STAP) methods.</p>\",\"PeriodicalId\":11556,\"journal\":{\"name\":\"Electronics Letters\",\"volume\":\"61 1\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2025-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70345\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronics Letters\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.70345\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics Letters","FirstCategoryId":"5","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.70345","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
A Training Sample Selection Method With Fusing GIP Statistic and Geographic Information for Airborne Radar
A training sample selection method is proposed by fusing the generalized inner product (GIP) statistic with geographic information to construct the fused metric of the sample set. Based on this metric, more suitable training samples are selected. The experimental 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 superior to that of both GIP and knowledge-aided space-time adaptive processing (KA-STAP) methods.
期刊介绍:
Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews.
Scope
As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below.
Antennas and Propagation
Biomedical and Bioinspired Technologies, Signal Processing and Applications
Control Engineering
Electromagnetism: Theory, Materials and Devices
Electronic Circuits and Systems
Image, Video and Vision Processing and Applications
Information, Computing and Communications
Instrumentation and Measurement
Microwave Technology
Optical Communications
Photonics and Opto-Electronics
Power Electronics, Energy and Sustainability
Radar, Sonar and Navigation
Semiconductor Technology
Signal Processing
MIMO