{"title":"A space-polarization collaborative algorithm for HFSWR","authors":"Yunlong Yang, X. Mao, Chunlei Zhao","doi":"10.1109/RADAR.2016.8059167","DOIUrl":null,"url":null,"abstract":"For the high frequency surface wave radar (HFSWR), the presence of ionospheric clutter seriously degrades its capability of receiving target echoes. Thus various ionospheric clutter mitigation methods are investigated based on space domain. However, the gains of antennas in vertical incidence can lead to channel amplitude inconsistency, which can degrade the performances of aforementioned space-domain-based methods. To solve this problem, a polarimetric-adaptive-based space-polarization collaborative algorithm (PAB-SPCA) is proposed by exploiting polarization domain, and enhances performance of ionospheric clutter suppression in the space-polarization domain. Experimental results show that the proposed algorithm is effective for channel amplitude consistency and provides superior suppression performance.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 CIE International Conference on Radar (RADAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.8059167","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
For the high frequency surface wave radar (HFSWR), the presence of ionospheric clutter seriously degrades its capability of receiving target echoes. Thus various ionospheric clutter mitigation methods are investigated based on space domain. However, the gains of antennas in vertical incidence can lead to channel amplitude inconsistency, which can degrade the performances of aforementioned space-domain-based methods. To solve this problem, a polarimetric-adaptive-based space-polarization collaborative algorithm (PAB-SPCA) is proposed by exploiting polarization domain, and enhances performance of ionospheric clutter suppression in the space-polarization domain. Experimental results show that the proposed algorithm is effective for channel amplitude consistency and provides superior suppression performance.