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Improved Best-fitting Gaussian Approximation PHD Filter: Improved Best-fitting Gaussian Approximation PHD Filter 改进的最佳拟合高斯近似PHD滤波器:改进的最佳拟合高斯近似PHD滤波器
Q2 Physics and Astronomy Pub Date : 2013-12-27 DOI: 10.3724/SP.J.1300.2013.13010
O. Cheng, Chen Xiaoxu, Hua Yun
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引用次数: 2
A Study of MMW Collision Avoidance Radar System for Trains: A Study of MMW Collision Avoidance Radar System for Trains 毫米波列车避碰雷达系统研究——毫米波列车避碰雷达系统研究
Q2 Physics and Astronomy Pub Date : 2013-12-27 DOI: 10.3724/SP.J.1300.2013.20091
Hai-bo Liu, Meng-meng Sheng, Xiao-qian Yang
{"title":"A Study of MMW Collision Avoidance Radar System for Trains: A Study of MMW Collision Avoidance Radar System for Trains","authors":"Hai-bo Liu, Meng-meng Sheng, Xiao-qian Yang","doi":"10.3724/SP.J.1300.2013.20091","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20091","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"234-238"},"PeriodicalIF":0.0,"publicationDate":"2013-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Data-based Parameter Estimation Method for Circular-scanning SAR Imaging: Data-based Parameter Estimation Method for Circular-scanning SAR Imaging 基于数据的圆扫描SAR成像参数估计方法:基于数据的圆扫描SAR成像参数估计方法
Q2 Physics and Astronomy Pub Date : 2013-12-27 DOI: 10.3724/SP.J.1300.2013.20073
Gongbo Chen, Yong Li, Man-yi Tao
{"title":"Data-based Parameter Estimation Method for Circular-scanning SAR Imaging: Data-based Parameter Estimation Method for Circular-scanning SAR Imaging","authors":"Gongbo Chen, Yong Li, Man-yi Tao","doi":"10.3724/SP.J.1300.2013.20073","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20073","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"203-209"},"PeriodicalIF":0.0,"publicationDate":"2013-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
One Maneuvering Frequency and the Variance Adaptive Filtering Algorithm for Maneuvering Target Tracking: One Maneuvering Frequency and the Variance Adaptive Filtering Algorithm for Maneuvering Target Tracking 机动目标跟踪的单机动频率和方差自适应滤波算法:机动目标跟踪的单机动频率和方差自适应滤波算法
Q2 Physics and Astronomy Pub Date : 2013-12-27 DOI: 10.3724/SP.J.1300.2013.13003
Guang-hua Qian, Ying Li, Rongjian Luo
{"title":"One Maneuvering Frequency and the Variance Adaptive Filtering Algorithm for Maneuvering Target Tracking: One Maneuvering Frequency and the Variance Adaptive Filtering Algorithm for Maneuvering Target Tracking","authors":"Guang-hua Qian, Ying Li, Rongjian Luo","doi":"10.3724/SP.J.1300.2013.13003","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13003","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"257-264"},"PeriodicalIF":0.0,"publicationDate":"2013-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70073680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Key Technology and Implementation Scheme Analysis of Air-borne Synthetic Aperture Ladar: Key Technology and Implementation Scheme Analysis of Air-borne Synthetic Aperture Ladar 机载合成孔径雷达关键技术及实现方案分析机载合成孔径雷达关键技术及实现方案分析
Q2 Physics and Astronomy Pub Date : 2013-12-27 DOI: 10.3724/SP.J.1300.2013.13021
Li Daojing, Qingjuan Zhang, Bo Liu, Yangbaihe Hong, Pan Jie
{"title":"Key Technology and Implementation Scheme Analysis of Air-borne Synthetic Aperture Ladar: Key Technology and Implementation Scheme Analysis of Air-borne Synthetic Aperture Ladar","authors":"Li Daojing, Qingjuan Zhang, Bo Liu, Yangbaihe Hong, Pan Jie","doi":"10.3724/SP.J.1300.2013.13021","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13021","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"143-151"},"PeriodicalIF":0.0,"publicationDate":"2013-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70073773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Analysis and Compensation Method Research on the Channel Leakage Error for Three-baseline MMWInSAR: Analysis and Compensation Method Research on the Channel Leakage Error for Three-baseline MMWInSAR 三基线MMWInSAR信道泄漏误差分析与补偿方法研究:三基线MMWInSAR信道泄漏误差分析与补偿方法研究
Q2 Physics and Astronomy Pub Date : 2013-12-27 DOI: 10.3724/SP.J.1300.2013.13008
Ming Qiao, Zhou-Hao Pan, Bo Liu, Daojing Li
Abstract: In this paper, modeling of the channel leakage error of a three-baseline MMWInSAR (MilliMeter Wave Interferometric Synthetic Aperture Radar) is analyzed, and the mathematical expression of the error’s parameters and interference phase error is deduced. Furthermore, using quantitative analysis, the paper investigates the impact on the interferometric phase error and elevation error from the channel leakage. Finally, a compensation method for the channel leakage error is presented. The results of simulation experiments verified the effectiveness of the compensation method.
摘要:本文分析了三基线毫米波干涉合成孔径雷达(MMWInSAR)信道泄漏误差的建模,推导了误差参数和干涉相位误差的数学表达式。在此基础上,定量分析了通道泄漏对干涉相位误差和仰角误差的影响。最后,提出了一种通道泄漏误差补偿方法。仿真实验结果验证了该补偿方法的有效性。
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引用次数: 2
Motion Compensation for Airborne Forward Looking Synthetic Aperture Radar with Linear Array Antennas: Motion Compensation for Airborne Forward Looking Synthetic Aperture Radar with Linear Array Antennas 基于线阵天线的机载前视合成孔径雷达运动补偿:基于线阵天线的机载前视合成孔径雷达运动补偿
Q2 Physics and Astronomy Pub Date : 2013-12-27 DOI: 10.3724/SP.J.1300.2013.20067
Yingjie Zhang, Yanping Wang, W. Tan, W. Hong
: Combined with Frequency-Modulated Continuous-Wave (FMCW) technology, airborne forward-looking Synthetic Aperture Radar (SAR) with linear array antennas can obtain the images in front of an aircraft, while having the advantages of FMCW radar such as small size and lightweight. Moreover, it is suitable for installation on platforms such as helicopters and small unmanned aerial vehicles. In practice, motion compensation for forward-looking SAR with linear array antennas is one of the key problems to obtaining the images in front of aircraft. This paper uses linear array antennas to analyses the influence of motion error in aircraft on an echo model based on the geometry of forward looking SAR, with linear array antennas, and proposes a motion compensation scheme. Moreover, the compensation scheme is applied to an improved Frequency Scaling Algorithm (FSA) for FMCW forward looking SAR with linear array antennas. Finally, the compensation scheme is verified using simulations.
:结合调频连续波(FMCW)技术,采用线阵天线的机载前视合成孔径雷达(SAR)可以获得飞机前方的图像,同时具有FMCW雷达体积小、重量轻的优点。而且适合安装在直升机、小型无人机等平台上。在实际应用中,线阵天线前视SAR的运动补偿问题是获取机前图像的关键问题之一。利用线阵天线分析了飞机运动误差对基于前视SAR几何形状的线阵天线回波模型的影响,并提出了运动补偿方案。此外,将补偿方案应用于线阵天线FMCW前视SAR的改进频率缩放算法。最后,通过仿真对补偿方案进行了验证。
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引用次数: 1
Two Factors Influencing Residual Motion Estimation in Airborne SAR Images with MTPT: Two Factors Influencing Residual Motion Estimation in Airborne SAR Images with MTPT 影响MTPT机载SAR图像剩余运动估计的两个因素:影响MTPT机载SAR图像剩余运动估计的两个因素
Q2 Physics and Astronomy Pub Date : 2013-12-27 DOI: 10.3724/SP.J.1300.2013.20095
Xue-lian Zhong, Ren-yuan Chen, Ran Yang, Tao Wu
Due to the poor accuracy of navigation systems, deviations of the order of centimeters between the real and measured trajectories, called residual motion errors, frequently occur in SAR images. For airborne SAR systems with very high resolution and airborne repeat-pass SAR interferometry, the residual motion errors must be estimated and compensated. Multi-squint Technique with Point Targets (MTPT) is able to estimate the residual motion errors for an individual SAR image, but errors in the platform velocity and the slant range will deteriorate the accuracy of the method. In this paper, we validate this by performing detailed analysis of the velocity and slant range to residual motion error estimation using both simulated and real SAR data. It is also shown that MTPT is able to estimate the errors in the velocity and slant range, and it is sensitive to the phase error. Therefore, it is advised that the errors in the velocity and slant range should be removed using other precise methods before
由于导航系统的精度较差,在SAR图像中经常出现实际和测量轨迹之间的厘米量级的偏差,称为残余运动误差。对于非常高分辨率的机载SAR系统和机载重复通道SAR干涉,必须对残余运动误差进行估计和补偿。点目标多斜视技术(MTPT)能够估计单幅SAR图像的残余运动误差,但平台速度和倾斜范围的误差会降低该方法的精度。在本文中,我们通过使用模拟和真实的SAR数据对速度和倾斜范围进行详细的分析来验证这一点。结果表明,MTPT能够估计速度和倾斜范围内的误差,并且对相位误差敏感。因此,建议在此之前使用其他精确的方法去除速度和倾斜范围的误差
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引用次数: 0
Effective Region of Active Decoy Jamming to SAR Based: Effective Region of Active Decoy Jamming to SAR Based 基于SAR的有源诱饵干扰有效区域:基于SAR的有源诱饵干扰有效区域
Q2 Physics and Astronomy Pub Date : 2013-12-27 DOI: 10.3724/SP.J.1300.2013.13001
Yongcai Liu, Wen Wang, Xiaoyi Pan, D. Dai
{"title":"Effective Region of Active Decoy Jamming to SAR Based: Effective Region of Active Decoy Jamming to SAR Based","authors":"Yongcai Liu, Wen Wang, Xiaoyi Pan, D. Dai","doi":"10.3724/SP.J.1300.2013.13001","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13001","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"6 1","pages":"46-53"},"PeriodicalIF":0.0,"publicationDate":"2013-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70073622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Methods for Parametrically Reconstructing Position of 3D Scattering Center Model of Targets from SAR Images 基于SAR图像参数化重建目标三维散射中心模型位置的方法
Q2 Physics and Astronomy Pub Date : 2013-06-01 DOI: 10.3724/SP.J.1300.2013.20080
Liu Xiao-ming, Wen Gong-jian, Zhong Jin-rong
② (61302 PLA Troops, Beijing 100016, China) Abstract: In this paper, we present the methods of parametrically reconstructing the position of a 3D scattering center model of the targets from SAR images for a target recognition application. First, a framework for reconstructing the 3D position of the targets from the SAR images is proposed. Then, a method that uses the parameters obtained from the scattering center of the targets from the SAR images is used for reconstructing the 3D scattering center model. Finally, the proposed methods are confirmed using the simulated data.
(61302部队,北京100016)摘要:本文提出了一种基于SAR图像参数化重建目标三维散射中心模型的方法,用于目标识别。首先,提出了一种基于SAR图像重建目标三维位置的框架。然后,采用从SAR图像中获取目标散射中心参数的方法重建目标的三维散射中心模型;最后,用仿真数据对所提方法进行了验证。
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引用次数: 0
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