{"title":"地基雷达抗联合扩展和离散杂波的KB-MTD方案","authors":"A. Semeniaka, V. Riabukha, Y. Katiushyn","doi":"10.1109/ELNANO54667.2022.9926988","DOIUrl":null,"url":null,"abstract":"The paper considers various MTD schemes against the additive background mixture of a range-extended and range-discrete clutter, which implement the knowledge-based (KB) methodology with different efficiency. The analysis and results of their quantitative comparison in a hypothetical situation of known parameters of Gaussian input data are given. On the basis of these results, KB-MTD systems, which are suitable for use in real conditions of a priori uncertainty of the parameters, are substantiated.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"KB-MTD Schemes against Joint Extended and Discrete Clutter for Ground-Based Radars\",\"authors\":\"A. Semeniaka, V. Riabukha, Y. Katiushyn\",\"doi\":\"10.1109/ELNANO54667.2022.9926988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper considers various MTD schemes against the additive background mixture of a range-extended and range-discrete clutter, which implement the knowledge-based (KB) methodology with different efficiency. The analysis and results of their quantitative comparison in a hypothetical situation of known parameters of Gaussian input data are given. On the basis of these results, KB-MTD systems, which are suitable for use in real conditions of a priori uncertainty of the parameters, are substantiated.\",\"PeriodicalId\":178034,\"journal\":{\"name\":\"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)\",\"volume\":\"201 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELNANO54667.2022.9926988\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELNANO54667.2022.9926988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
KB-MTD Schemes against Joint Extended and Discrete Clutter for Ground-Based Radars
The paper considers various MTD schemes against the additive background mixture of a range-extended and range-discrete clutter, which implement the knowledge-based (KB) methodology with different efficiency. The analysis and results of their quantitative comparison in a hypothetical situation of known parameters of Gaussian input data are given. On the basis of these results, KB-MTD systems, which are suitable for use in real conditions of a priori uncertainty of the parameters, are substantiated.