Ning Du, Junjie Wu, Zhongyu Li, Mafei Xu, Haiguang Yang, Jianyu Yang
{"title":"A GMTI Method for Near-Space Hypersonic Vehicle-borne SAR based on Track Before Detect in Image Domain","authors":"Ning Du, Junjie Wu, Zhongyu Li, Mafei Xu, Haiguang Yang, Jianyu Yang","doi":"10.1109/APSAR46974.2019.9048318","DOIUrl":null,"url":null,"abstract":"Ground Moving Target Indication (GMTI) for Near-space Hypersonic vehicle borne Synthetic Aperture Radar (NH-SAR) is an important part of remote sensing applications. However, the ultra-long range and the ultra-high flight speed of NH-SAR causes the lower echo signal-to-noise ratio (SNR) and the expanded clutter spectrum, which reduces the performance of traditional GMTI methods such as Displaced Phase Centre Antennas (DPCA), along track interferometry (ATI) and Space Time Adaptive Processing (STAP). In this paper, a method based on Track Before Detect (TBD) in image domain is proposed to perform GMTI for NH-SAR. This method obtains the multi-frame images of NH-SAR firstly, and tracks the trajectories of the moving targets in the images. The simulation results validate the effectiveness of the proposed method, and show that this method has lower false alarm probabilities under the low-SNR condition.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSAR46974.2019.9048318","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
Ground Moving Target Indication (GMTI) for Near-space Hypersonic vehicle borne Synthetic Aperture Radar (NH-SAR) is an important part of remote sensing applications. However, the ultra-long range and the ultra-high flight speed of NH-SAR causes the lower echo signal-to-noise ratio (SNR) and the expanded clutter spectrum, which reduces the performance of traditional GMTI methods such as Displaced Phase Centre Antennas (DPCA), along track interferometry (ATI) and Space Time Adaptive Processing (STAP). In this paper, a method based on Track Before Detect (TBD) in image domain is proposed to perform GMTI for NH-SAR. This method obtains the multi-frame images of NH-SAR firstly, and tracks the trajectories of the moving targets in the images. The simulation results validate the effectiveness of the proposed method, and show that this method has lower false alarm probabilities under the low-SNR condition.
近空间高超声速飞行器载合成孔径雷达(NH-SAR)地面运动目标指示是遥感应用的重要组成部分。然而,NH-SAR的超长航程和超高飞行速度导致回波信噪比(SNR)降低,杂波谱扩大,降低了传统GMTI方法(如位移相位中心天线(DPCA)、沿航迹干涉(ATI)和时空自适应处理(STAP))的性能。本文提出了一种基于图像域的先检测后跟踪(Track Before Detect, TBD)方法对NH-SAR进行GMTI检测。该方法首先获取NH-SAR的多帧图像,并对图像中运动目标的轨迹进行跟踪。仿真结果验证了该方法的有效性,表明该方法在低信噪比条件下具有较低的虚警概率。