{"title":"舰载多基地面波雷达相关源的DOA可见性增强","authors":"Bo Li, Bin Xu, Yeshu Yuan","doi":"10.1109/RADAR.2009.4977102","DOIUrl":null,"url":null,"abstract":"A modified array interpolation approach to correlated source localization is presented for the surface wave radar (SWR) that employs multiple uniform linear subarrays (ULSAs) mounted on different ships to compose a multistatic shipborne SWR receiving array. This approach that overcomes the main shortcomings of some existing interpolation techniques, comprises three stages: a first stage for preestimating direction-of-arrivals (DOAs) on an assumption that at least a single ULSA is available for correlated source localization, a second stage for specifying a union of nonoverlapping narrow subsectors as the interpolated sector to cover only the preestimates, and a third stage for reestimating DOAs with the virtual uniform linear array (VULA), in which we skip noise prewhitening and appropriately increase the amount of forward/backward spatial smoothing (FBSS) that plays a major role in lowering noise floor while decorrelating correlated sources. Monte Carlo simulations demonstrate the validity of our proposal.","PeriodicalId":346898,"journal":{"name":"2009 IEEE Radar Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhanced DOA visibility of correlated sources for multistatic shipborne surface wave radar\",\"authors\":\"Bo Li, Bin Xu, Yeshu Yuan\",\"doi\":\"10.1109/RADAR.2009.4977102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A modified array interpolation approach to correlated source localization is presented for the surface wave radar (SWR) that employs multiple uniform linear subarrays (ULSAs) mounted on different ships to compose a multistatic shipborne SWR receiving array. This approach that overcomes the main shortcomings of some existing interpolation techniques, comprises three stages: a first stage for preestimating direction-of-arrivals (DOAs) on an assumption that at least a single ULSA is available for correlated source localization, a second stage for specifying a union of nonoverlapping narrow subsectors as the interpolated sector to cover only the preestimates, and a third stage for reestimating DOAs with the virtual uniform linear array (VULA), in which we skip noise prewhitening and appropriately increase the amount of forward/backward spatial smoothing (FBSS) that plays a major role in lowering noise floor while decorrelating correlated sources. Monte Carlo simulations demonstrate the validity of our proposal.\",\"PeriodicalId\":346898,\"journal\":{\"name\":\"2009 IEEE Radar Conference\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2009.4977102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2009.4977102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhanced DOA visibility of correlated sources for multistatic shipborne surface wave radar
A modified array interpolation approach to correlated source localization is presented for the surface wave radar (SWR) that employs multiple uniform linear subarrays (ULSAs) mounted on different ships to compose a multistatic shipborne SWR receiving array. This approach that overcomes the main shortcomings of some existing interpolation techniques, comprises three stages: a first stage for preestimating direction-of-arrivals (DOAs) on an assumption that at least a single ULSA is available for correlated source localization, a second stage for specifying a union of nonoverlapping narrow subsectors as the interpolated sector to cover only the preestimates, and a third stage for reestimating DOAs with the virtual uniform linear array (VULA), in which we skip noise prewhitening and appropriately increase the amount of forward/backward spatial smoothing (FBSS) that plays a major role in lowering noise floor while decorrelating correlated sources. Monte Carlo simulations demonstrate the validity of our proposal.