一种用于HFSWR的空间极化协同算法

Yunlong Yang, X. Mao, Chunlei Zhao
{"title":"一种用于HFSWR的空间极化协同算法","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":"{\"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}","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

摘要

对于高频表面波雷达(HFSWR)来说,电离层杂波的存在严重降低了其接收目标回波的能力。因此,研究了基于空间域的各种电离层杂波抑制方法。然而,天线在垂直方向上的增益会导致信道幅度不一致,从而降低上述空域方法的性能。为了解决这一问题,利用极化域,提出了一种基于极化自适应的空间极化协同算法(paba - spca),提高了空间极化域电离层杂波抑制性能。实验结果表明,该算法对信道幅度一致性有较好的抑制效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A space-polarization collaborative algorithm for HFSWR
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信