{"title":"Ship Target Identification Method based on the Characteristic of Target Polarimetric HRRP of Radars","authors":"Zhongyuan Lu, Zhongxun Wang, B. Dan","doi":"10.1109/PHM-Yantai55411.2022.9941843","DOIUrl":null,"url":null,"abstract":"At present, the progress in broadband and polarimetric measurement technology contributes to a significant advancement of the target identification technology based on HRRP characteristics. This paper focuses on the method used to extract the polarimetric HRRP characteristic of target ships according to the Cloude decomposition theory which is based on the eigenvalue and eigenvector analysis of target coherence matrixes and the Cameron decomposition theory based on the decomposition of Sinclair scattering matrixes. With a clear physical significance, the extracted characteristics can be applied to characterize the target from different angles. By analyzing the divisibility value of them, the characteristics with a high level of divisibility are selected to construct the vectors of the target characteristics. The divisibility and robustness of these characteristics are demonstrated through the simulation of five ship targets, while the effectiveness of the method is verified by the identification results.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM-Yantai55411.2022.9941843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
At present, the progress in broadband and polarimetric measurement technology contributes to a significant advancement of the target identification technology based on HRRP characteristics. This paper focuses on the method used to extract the polarimetric HRRP characteristic of target ships according to the Cloude decomposition theory which is based on the eigenvalue and eigenvector analysis of target coherence matrixes and the Cameron decomposition theory based on the decomposition of Sinclair scattering matrixes. With a clear physical significance, the extracted characteristics can be applied to characterize the target from different angles. By analyzing the divisibility value of them, the characteristics with a high level of divisibility are selected to construct the vectors of the target characteristics. The divisibility and robustness of these characteristics are demonstrated through the simulation of five ship targets, while the effectiveness of the method is verified by the identification results.