{"title":"Suppression of sea clutter with modified joint domain localized algorithm in shipborne HFSWR","authors":"Liang Guo, Qiang Yang, Weibo Deng","doi":"10.1109/RADAR.2016.8059442","DOIUrl":null,"url":null,"abstract":"The spread of the dominant first order Bragg lines in shipborne high frequency surface wave radar (HFSWR) severely obscures targets within the spreading domain. Joint domain localized (JDL) algorithm is one of reduced-dimension STAP methods to suppress the sea clutter. Its performance depends on the accuracy of the estimation of the covariance matrix. Conventional JDL utilizes the secondary training data directly to calculate the covariance matrix. A modified calculation of the covariance matrix based on the distribution and characteristics of sea clutter is proposed to fit for sea clutter better and make maximum use of the few secondary training data. Simulation based on real data shows that the modified JDL algorithm is effective on improving the anti-clutter performance in shipborne HFSWR.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 CIE International Conference on Radar (RADAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.8059442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The spread of the dominant first order Bragg lines in shipborne high frequency surface wave radar (HFSWR) severely obscures targets within the spreading domain. Joint domain localized (JDL) algorithm is one of reduced-dimension STAP methods to suppress the sea clutter. Its performance depends on the accuracy of the estimation of the covariance matrix. Conventional JDL utilizes the secondary training data directly to calculate the covariance matrix. A modified calculation of the covariance matrix based on the distribution and characteristics of sea clutter is proposed to fit for sea clutter better and make maximum use of the few secondary training data. Simulation based on real data shows that the modified JDL algorithm is effective on improving the anti-clutter performance in shipborne HFSWR.
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