Jiangyun Deng;Zhi Sun;Wenjie Liu;Xiaolong Li;Guolong Cui
{"title":"Blind Source Separation-Based High-Speed Weak Target Coherent Detection Method Under Strong Target BSSL Covering Situation","authors":"Jiangyun Deng;Zhi Sun;Wenjie Liu;Xiaolong Li;Guolong Cui","doi":"10.1109/TAES.2025.3526105","DOIUrl":null,"url":null,"abstract":"The Radon Fourier transform (RFT) is a commonly utilized method in high-speed weak target detection, which can effectively achieve coherent integration (CI) in the presence of migration through range cell. However, the blind speed side-lobe (BSSL) phenomenon may appear in RFT outputs because of discrete pulse-sampling, restricted range resolution and confined CI period. For the case that scattering intensities of multiple targets differ significantly, the side-lobe of the strong target may conceal the main-lobe energy of the weak one and then result in loss detection. To obtain effective coherent detection for weak target, this article proposes a novel weak target coherent detection method under strong target BSSL covering condition based on blind source separation. This method applies the RFT to obtain the outputs mixing of strong and weak target energy at first. Then, constructing the strong target RFT response from the position of its main-lobe. Finally, the BSS is used to process the strong target RFT response and mixing RFT outputs, effectively cleansing the side-lobes of the strong target RFT response and retaining the weak target RFT response. At this moment, the high-speed weak target detection results can be achieved. The efficacy of the proposed method is confirmed by simulation experiments and measured data processing.","PeriodicalId":13157,"journal":{"name":"IEEE Transactions on Aerospace and Electronic Systems","volume":"61 3","pages":"7987-7994"},"PeriodicalIF":5.7000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Aerospace and Electronic Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10829815/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
引用次数: 0
Abstract
The Radon Fourier transform (RFT) is a commonly utilized method in high-speed weak target detection, which can effectively achieve coherent integration (CI) in the presence of migration through range cell. However, the blind speed side-lobe (BSSL) phenomenon may appear in RFT outputs because of discrete pulse-sampling, restricted range resolution and confined CI period. For the case that scattering intensities of multiple targets differ significantly, the side-lobe of the strong target may conceal the main-lobe energy of the weak one and then result in loss detection. To obtain effective coherent detection for weak target, this article proposes a novel weak target coherent detection method under strong target BSSL covering condition based on blind source separation. This method applies the RFT to obtain the outputs mixing of strong and weak target energy at first. Then, constructing the strong target RFT response from the position of its main-lobe. Finally, the BSS is used to process the strong target RFT response and mixing RFT outputs, effectively cleansing the side-lobes of the strong target RFT response and retaining the weak target RFT response. At this moment, the high-speed weak target detection results can be achieved. The efficacy of the proposed method is confirmed by simulation experiments and measured data processing.
期刊介绍:
IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.