Pub Date : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048567
Jun Ma
When airborne radar is detecting the ground, how to reduce false alarm and improve detection accuracy becomes extremely important. The data analysis shows that no matter what radar signal processing method is used, there is still a lot of residual plots remained. Plot processing is a key step to solve this problem. Due to the strong ground clutter and multiple task types, the new algorithm of plot processing is necessary. Based on the analysis of practical flight data, this paper proposes an adaptive algorithm in the step-variant scanning for GMTI radar, which considers both radar work parameter and the environmental factors. In the end, the simulation proves that the adaptive algorithm can effectively improve target plot precision, reduce false alarm, improve tracking quality and reduce the burden of the data processing system.
{"title":"An Adaptive Algorithm of Plot Processing in Step-Variant Scanning for GMTI Radar","authors":"Jun Ma","doi":"10.1109/APSAR46974.2019.9048567","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048567","url":null,"abstract":"When airborne radar is detecting the ground, how to reduce false alarm and improve detection accuracy becomes extremely important. The data analysis shows that no matter what radar signal processing method is used, there is still a lot of residual plots remained. Plot processing is a key step to solve this problem. Due to the strong ground clutter and multiple task types, the new algorithm of plot processing is necessary. Based on the analysis of practical flight data, this paper proposes an adaptive algorithm in the step-variant scanning for GMTI radar, which considers both radar work parameter and the environmental factors. In the end, the simulation proves that the adaptive algorithm can effectively improve target plot precision, reduce false alarm, improve tracking quality and reduce the burden of the data processing system.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121598337","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}
Pub Date : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048506
Liang Li, Feng Ming, Jun Hong, Zhengshuai Li
During the past decade, IECAS (Institute of Electronics, Chinese Academy of Sciences) has developed a set of L-, S-, C- and X-band active radar calibrators deployed during the calibration campaigns for HJ1C SAR,Gaofen-3 SAR and so on. In the near future, P-band and Ka-band spaceborne SARs will be launched. We find it is a waste to develop the special ARCs for a specific SAR or a specific frequency band SAR and the acquired experience can help us to design and develop a multiband active radar calibrator (ARC). This paper describes the design and implementation of a novel multiband active radar calibrator which can operate at L-, C-, X- and Ka-band, and manufacture process is introduced. Also laboratory measurements were performed to characterize the performance of the multiband ARC, especially gain stability, system transfer function, gain flatness and linearity of ARC receiver were paid specific attention to. Three such ARCs were developed and they will be the first multiband ARC in China or even in the world, and it can be used to implement the calibration campaigns of Chinese Gaofen-3 SAR, Shenzhen-1 SAR, Luojia-2 SAR and so on. The results obtained from the measurements show that the performance of the multiband ARC is rather satisfactory.
{"title":"Development of Active Radar Calibrator for L-,C-,X-, and Ka-band SAR","authors":"Liang Li, Feng Ming, Jun Hong, Zhengshuai Li","doi":"10.1109/APSAR46974.2019.9048506","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048506","url":null,"abstract":"During the past decade, IECAS (Institute of Electronics, Chinese Academy of Sciences) has developed a set of L-, S-, C- and X-band active radar calibrators deployed during the calibration campaigns for HJ1C SAR,Gaofen-3 SAR and so on. In the near future, P-band and Ka-band spaceborne SARs will be launched. We find it is a waste to develop the special ARCs for a specific SAR or a specific frequency band SAR and the acquired experience can help us to design and develop a multiband active radar calibrator (ARC). This paper describes the design and implementation of a novel multiband active radar calibrator which can operate at L-, C-, X- and Ka-band, and manufacture process is introduced. Also laboratory measurements were performed to characterize the performance of the multiband ARC, especially gain stability, system transfer function, gain flatness and linearity of ARC receiver were paid specific attention to. Three such ARCs were developed and they will be the first multiband ARC in China or even in the world, and it can be used to implement the calibration campaigns of Chinese Gaofen-3 SAR, Shenzhen-1 SAR, Luojia-2 SAR and so on. The results obtained from the measurements show that the performance of the multiband ARC is rather satisfactory.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123137019","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}
High precision measurement of sea surface is great significance for the remote sensing of spaceborne ocean. The near-nadir spaceborne interferometric synthetic aperture radar (InSAR) can be used to measure Sea Surface Height (SSH) with centimeter-level accuracy in wide area. Compared with terrestrial interferometry, the vital difference of ocean measurement is the random motion of ocean surface waves. For remote sensing, the motion of sea surface will bring bias to the imaging and interference process of InSAR, leading to height measurement error eventually. In this paper, we have study the error caused by dynamic sea surface and the influence of measurement accuracy on InSAR. Based on the characteristics of ocean surface and the working mechanism of InSAR, the theoretical model of motion error is established. In the ka-band Strip-map model, the error of various incident angles and sea states are simulated. Form the experiment results, we can find that the error of altimetry is increasing by the increase of sea surface wind speed. Under the same sea states, the error of sea surface height measurement increases with expanding the angle of incidence. And the Doppler centroid frequency of SAR signal has a great impact on errors. The results of theoretical analysis and experimental simulation have provided feasible suggestions for the design of InSAR system and error budget for sea surface height measurement in the future.
{"title":"Error Analysis of Dynamic Sea Surface Height Measurement by Near-nadir Interferometric SAR","authors":"Donghua Zhang, Xiaoqing Wang, Yao Chen, Shuang Wu, Baotian Chao, Haifeng Huang","doi":"10.1109/APSAR46974.2019.9048351","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048351","url":null,"abstract":"High precision measurement of sea surface is great significance for the remote sensing of spaceborne ocean. The near-nadir spaceborne interferometric synthetic aperture radar (InSAR) can be used to measure Sea Surface Height (SSH) with centimeter-level accuracy in wide area. Compared with terrestrial interferometry, the vital difference of ocean measurement is the random motion of ocean surface waves. For remote sensing, the motion of sea surface will bring bias to the imaging and interference process of InSAR, leading to height measurement error eventually. In this paper, we have study the error caused by dynamic sea surface and the influence of measurement accuracy on InSAR. Based on the characteristics of ocean surface and the working mechanism of InSAR, the theoretical model of motion error is established. In the ka-band Strip-map model, the error of various incident angles and sea states are simulated. Form the experiment results, we can find that the error of altimetry is increasing by the increase of sea surface wind speed. Under the same sea states, the error of sea surface height measurement increases with expanding the angle of incidence. And the Doppler centroid frequency of SAR signal has a great impact on errors. The results of theoretical analysis and experimental simulation have provided feasible suggestions for the design of InSAR system and error budget for sea surface height measurement in the future.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"17 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126030619","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}
Pub Date : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048263
Ting Liang, Shumeng Wang, Jian-fei Ren, Hai-ou Shen, Ying Luo
Limited to the radar pulse repetition frequency (PRF), the quality of inverse synthetic aperture radar (ISAR) image for space micro-motion targets is poor, when performed by the conventional Range-Doppler (R-D) algorithm. In this paper, a method aiming at the video ISAR imaging for rotating space targets based on R-D algorithm is proposed. By means of the prior information that the target is rotating, a set of transmitted pulse train are designed to increase the pulse number within the required imaging time, and so as to improve the ISAR image quality of the rotating target. Considering that the image quality is sensitive to the estimated frequency, a circular search for accuracy frequency is added in the processes. Besides, by extracting different sets of echoes and realizing the ISAR imaging at different angles, the video ISAR imaging can be achieved. The simulation results show that the estimated rotation frequency in the end is exact and the ISAR image is satisfactory, illustrating the effectiveness of the proposed method.
{"title":"A Novel Video ISAR Imaging for Rotating Space Targets Based on Pulse Train Design","authors":"Ting Liang, Shumeng Wang, Jian-fei Ren, Hai-ou Shen, Ying Luo","doi":"10.1109/APSAR46974.2019.9048263","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048263","url":null,"abstract":"Limited to the radar pulse repetition frequency (PRF), the quality of inverse synthetic aperture radar (ISAR) image for space micro-motion targets is poor, when performed by the conventional Range-Doppler (R-D) algorithm. In this paper, a method aiming at the video ISAR imaging for rotating space targets based on R-D algorithm is proposed. By means of the prior information that the target is rotating, a set of transmitted pulse train are designed to increase the pulse number within the required imaging time, and so as to improve the ISAR image quality of the rotating target. Considering that the image quality is sensitive to the estimated frequency, a circular search for accuracy frequency is added in the processes. Besides, by extracting different sets of echoes and realizing the ISAR imaging at different angles, the video ISAR imaging can be achieved. The simulation results show that the estimated rotation frequency in the end is exact and the ISAR image is satisfactory, illustrating the effectiveness of the proposed method.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121187010","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}
Pub Date : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048416
Yu Mao, Yanwei Ju
Aiming at the problem of large computation of traditional interpolation algorithm in ISAR imaging, a method of interpolation along radar line of sight is proposed. According to the geometric model of large rotation angle, the azimuth distortion caused by coordinate transformation is re-sampled. The simulation results show the superiority of this algorithm over other traditional interpolation algorithms.
{"title":"A polar format imaging algorithm applied to ISAR with large turning angle","authors":"Yu Mao, Yanwei Ju","doi":"10.1109/APSAR46974.2019.9048416","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048416","url":null,"abstract":"Aiming at the problem of large computation of traditional interpolation algorithm in ISAR imaging, a method of interpolation along radar line of sight is proposed. According to the geometric model of large rotation angle, the azimuth distortion caused by coordinate transformation is re-sampled. The simulation results show the superiority of this algorithm over other traditional interpolation algorithms.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116645085","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}
Pub Date : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048462
Yongpeng Dai, T. Jin, Yongkun Song, Haoran Li, Chen Wu
The local density of the antenna units is estimated using the kernel density. The topology of an antenna array determines its performance. It is mentioned by researches that pseudo-random antenna arrays have better characters such as low side lobe levels and low grating lobes. However, when designing a pseudo-random array, it is still necessary to maintain all areas of the antenna array have the similar local density to get a symmetric antenna array pattern. Local density estimation results using the kernel density are continuous in the whole antenna array area (1-dimensional line or 2-dimensional plane). In the uniform distribution area, there is no gradient, as for the non-uniform area, the gradient points to the relative dense area. So, the estimated local density results using kernel density will be instructive when using the gradient decent method to optimize an antenna array. A 2-dimensional antenna array is simulated, and the units' local density and gradient of it is calculated using the local density method. A distort array is simulated and homogenized according to the gradience of its local density. Imaging results of the distort and the homogenized array are also given to show the significance maintaining the homogeneity of the array.
{"title":"Local Density Estimation of Antenna Units Using The Kernel Density","authors":"Yongpeng Dai, T. Jin, Yongkun Song, Haoran Li, Chen Wu","doi":"10.1109/APSAR46974.2019.9048462","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048462","url":null,"abstract":"The local density of the antenna units is estimated using the kernel density. The topology of an antenna array determines its performance. It is mentioned by researches that pseudo-random antenna arrays have better characters such as low side lobe levels and low grating lobes. However, when designing a pseudo-random array, it is still necessary to maintain all areas of the antenna array have the similar local density to get a symmetric antenna array pattern. Local density estimation results using the kernel density are continuous in the whole antenna array area (1-dimensional line or 2-dimensional plane). In the uniform distribution area, there is no gradient, as for the non-uniform area, the gradient points to the relative dense area. So, the estimated local density results using kernel density will be instructive when using the gradient decent method to optimize an antenna array. A 2-dimensional antenna array is simulated, and the units' local density and gradient of it is calculated using the local density method. A distort array is simulated and homogenized according to the gradience of its local density. Imaging results of the distort and the homogenized array are also given to show the significance maintaining the homogeneity of the array.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123819409","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}
Pub Date : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048441
Bang Huang, S. Y. Nusenu, Shunsheng Zhang, Wen-qin Wang, Y. Liao, Zhibin Wang
This paper proposes a method against bi-static synthetic aperture radar (SAR) jamming based on frequency diversity array (FDA). Firstly, we present the geometry model of the jamming signal of FDA-bistatic SAR. Then, we introduce two-dimensional non-uniform fast Fourier transform (2D-NUFFT) for FDA-bistatic SAR jamming imaging. Via simulation results, we find that the FDA has deceptive jamming effect on bi-static SAR.
{"title":"A Deceptive Jamming Against High and Low Orbit Bistatic SAR Using Frequency Diversity Array","authors":"Bang Huang, S. Y. Nusenu, Shunsheng Zhang, Wen-qin Wang, Y. Liao, Zhibin Wang","doi":"10.1109/APSAR46974.2019.9048441","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048441","url":null,"abstract":"This paper proposes a method against bi-static synthetic aperture radar (SAR) jamming based on frequency diversity array (FDA). Firstly, we present the geometry model of the jamming signal of FDA-bistatic SAR. Then, we introduce two-dimensional non-uniform fast Fourier transform (2D-NUFFT) for FDA-bistatic SAR jamming imaging. Via simulation results, we find that the FDA has deceptive jamming effect on bi-static SAR.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122851340","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}
Pub Date : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048270
Mou Wang, Shunjun Wei, Min Yan, Xiaoling Zhang, Jun Shi
This paper addresses an approach to tree parameters extraction by applying ground-based linear array synthetic aperture radar (GB-LASAR) 3-D imaging. For the purpose of tree parameters estimation, an imaging methods joint back-projection algorithm and compressed sensing sparse recovery algorithm are used for GB-LASAR 3-D image formation firstly. Tree parameters including the height and the DBH (Diameter at breast height) are extracted from the 3-D SAR image via the Graham algorithm and the statistical analysis method. And the performances on focusing and tree parameters estimation of the two approaches are discussed. In the end, the effectiveness of the approaches and the estimated tree parameters have been validated against the GB-LASAR experimental data
{"title":"Tree Parameters Extraction VIA Ground-based Linear Array SAR 3-D Imaging","authors":"Mou Wang, Shunjun Wei, Min Yan, Xiaoling Zhang, Jun Shi","doi":"10.1109/APSAR46974.2019.9048270","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048270","url":null,"abstract":"This paper addresses an approach to tree parameters extraction by applying ground-based linear array synthetic aperture radar (GB-LASAR) 3-D imaging. For the purpose of tree parameters estimation, an imaging methods joint back-projection algorithm and compressed sensing sparse recovery algorithm are used for GB-LASAR 3-D image formation firstly. Tree parameters including the height and the DBH (Diameter at breast height) are extracted from the 3-D SAR image via the Graham algorithm and the statistical analysis method. And the performances on focusing and tree parameters estimation of the two approaches are discussed. In the end, the effectiveness of the approaches and the estimated tree parameters have been validated against the GB-LASAR experimental data","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115167916","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}
Pub Date : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048428
Xiyue Hou, Feng Xu
A novel algorithm for inshore ship detection based on multi-aspect information in high-resolution Synthetic Aperture Radar (SAR) images is proposed. Based on the internal and external characteristics of inshore ship and harbor regions, multi-aspect information, including coastline information, context information, scattering mechanism, shape contour and deep feature information, are considered respectively to detect inshore ship targets. The algorithm is verified to be robust and efficient to exact the Region-of-Interest (ROI) of inshore ship, and achieve a good performance with detection rate 94.24%. Experiments demonstrate good performance with detection rate 94.24%. The results show that the method is simple and robust, which can effectively determine the Region-of-Interest (ROI) of inshore ship.
{"title":"Inshore ship detection based on multi-aspect information in high-resolution SAR images","authors":"Xiyue Hou, Feng Xu","doi":"10.1109/APSAR46974.2019.9048428","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048428","url":null,"abstract":"A novel algorithm for inshore ship detection based on multi-aspect information in high-resolution Synthetic Aperture Radar (SAR) images is proposed. Based on the internal and external characteristics of inshore ship and harbor regions, multi-aspect information, including coastline information, context information, scattering mechanism, shape contour and deep feature information, are considered respectively to detect inshore ship targets. The algorithm is verified to be robust and efficient to exact the Region-of-Interest (ROI) of inshore ship, and achieve a good performance with detection rate 94.24%. Experiments demonstrate good performance with detection rate 94.24%. The results show that the method is simple and robust, which can effectively determine the Region-of-Interest (ROI) of inshore ship.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128073687","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}
Pub Date : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048474
Weixing Yang, Daiyin Zhu
Curvilinear Synthetic Aperture Radar (CLSAR) has very high research value owing to realizing three-dimensional imaging through radar curvilinear flight in azimuth-altitude plane. In this paper, the principle of three-dimensional (3D) imaging based on curvilinear SAR is analyzed, and the signal model of curvilinear SAR imaging is established. Due to the sparsity of imaged target in three-dimensional space, the measure equation of curvilinear SAR is established which based on the radar echo linear model for 3D scene and the orthogonal matching pursuit (OMP) algorithm is used to solve the measure equation and reconstruct the 3D scene. Compared with the classical fast Fourier transform (FFT) algorithm, the sidelobes are greatly lower, and the imaging quality is significantly improved. Simulation results show that the method is effective in CLSAR 3D imaging.
{"title":"Curvilinear SAR 3D imaging by orthogonal matching pursuit","authors":"Weixing Yang, Daiyin Zhu","doi":"10.1109/APSAR46974.2019.9048474","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048474","url":null,"abstract":"Curvilinear Synthetic Aperture Radar (CLSAR) has very high research value owing to realizing three-dimensional imaging through radar curvilinear flight in azimuth-altitude plane. In this paper, the principle of three-dimensional (3D) imaging based on curvilinear SAR is analyzed, and the signal model of curvilinear SAR imaging is established. Due to the sparsity of imaged target in three-dimensional space, the measure equation of curvilinear SAR is established which based on the radar echo linear model for 3D scene and the orthogonal matching pursuit (OMP) algorithm is used to solve the measure equation and reconstruct the 3D scene. Compared with the classical fast Fourier transform (FFT) algorithm, the sidelobes are greatly lower, and the imaging quality is significantly improved. Simulation results show that the method is effective in CLSAR 3D imaging.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128094243","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}
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