Pub Date : 2013-02-01DOI: 10.3724/SP.J.1300.2013.20100
Ying-xin Jia, Yanfeng Wang
: We designed and implemented a wideband Linear Frequency Modulated (LFM) pulse compression exciter with 14.8 GHz carrier and 3.2 GHz bandwidth based on an ultra-high resolution airborne SAR system with a better than 0.1 m resolution. The selection of a signal generation scheme and some key technique points for wideband LFM waveform are presented in detail. Then, an acute test and analysis of the LFM signal are performed. The final airborne experiments demonstrate the validity of the LFM source, which is one of the subsystems in an ultra-high resolution airborne SAR system.
{"title":"Design and Implementation of Wideband Exciter for an Ultra-high Resolution Airborne SAR System","authors":"Ying-xin Jia, Yanfeng Wang","doi":"10.3724/SP.J.1300.2013.20100","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20100","url":null,"abstract":": We designed and implemented a wideband Linear Frequency Modulated (LFM) pulse compression exciter with 14.8 GHz carrier and 3.2 GHz bandwidth based on an ultra-high resolution airborne SAR system with a better than 0.1 m resolution. The selection of a signal generation scheme and some key technique points for wideband LFM waveform are presented in detail. Then, an acute test and analysis of the LFM signal are performed. The final airborne experiments demonstrate the validity of the LFM source, which is one of the subsystems in an ultra-high resolution airborne SAR system.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"192 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074813","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 : 2013-02-01DOI: 10.3724/SP.J.1300.2013.20102
Xiaolong Chen, J. Guan, You He
Micro-Doppler signature is one of the physical characteristics of the target. The radar signature of a target with micro-motion can make fine characterizations of the shape, structure, and moving state of target, which reflects the nonstationary property of a radar signal. Hence, it has great superiority in the analysis of sea clutter and target detection in the case of high sea states based on the micro-Doppler theory. In this paper, to show the need for micro-Doppler, the modeling of scattering clutter from time-varying sea surface and analysis methods of sea clutter Doppler are first reviewed based on the principles and characteristics of micro-Doppler. Then, applications and technological approaches of micro-Doppler in sea surface target detection are introduced from the perspective of micro-motion target modeling and detection methods of micro-motion signatures. Finally, future research interests are highlighted based on problems experienced in present studies.
{"title":"Applications and Prospect of Micro-motion Theory in the Detection of Sea Surface Target","authors":"Xiaolong Chen, J. Guan, You He","doi":"10.3724/SP.J.1300.2013.20102","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20102","url":null,"abstract":"Micro-Doppler signature is one of the physical characteristics of the target. The radar signature of a target with micro-motion can make fine characterizations of the shape, structure, and moving state of target, which reflects the nonstationary property of a radar signal. Hence, it has great superiority in the analysis of sea clutter and target detection in the case of high sea states based on the micro-Doppler theory. In this paper, to show the need for micro-Doppler, the modeling of scattering clutter from time-varying sea surface and analysis methods of sea clutter Doppler are first reviewed based on the principles and characteristics of micro-Doppler. Then, applications and technological approaches of micro-Doppler in sea surface target detection are introduced from the perspective of micro-motion target modeling and detection methods of micro-motion signatures. Finally, future research interests are highlighted based on problems experienced in present studies.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074885","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 : 2013-02-01DOI: 10.3724/SP.J.1300.2013.20092
Weiming Tian, Zeng Tao, Hu Cheng
In this paper, an imaging processing method for Bistatic Synthetic Aperture Radar (BiSAR) utilizing navigation satellites is investigated. Considering the special problems regarding the use of Global Navigation Satellite System (GNSS) signals to form SAR images, direct signals are used to estimate range migration parameters, and range migration is corrected in the azimuth time domain. The Doppler sensitivity of phase-coded signals was solved by Doppler compensation. By fitting the Doppler phase history with a high-order polynomial, the Doppler phase history is accurately approximated and the azimuth compression is implemented by de-chirp processing. By performing simulations and experimental data processing, the proposed method is verified.
{"title":"Imaging Algorithm for Bistatic SAR Based on GNSS Signal","authors":"Weiming Tian, Zeng Tao, Hu Cheng","doi":"10.3724/SP.J.1300.2013.20092","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20092","url":null,"abstract":"In this paper, an imaging processing method for Bistatic Synthetic Aperture Radar (BiSAR) utilizing navigation satellites is investigated. Considering the special problems regarding the use of Global Navigation Satellite System (GNSS) signals to form SAR images, direct signals are used to estimate range migration parameters, and range migration is corrected in the azimuth time domain. The Doppler sensitivity of phase-coded signals was solved by Doppler compensation. By fitting the Doppler phase history with a high-order polynomial, the Doppler phase history is accurately approximated and the azimuth compression is implemented by de-chirp processing. By performing simulations and experimental data processing, the proposed method is verified.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074701","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 : 2013-02-01DOI: 10.3724/SP.J.1300.2013.20079
Huang Jian, Wei-dong Hu
It is imperative to efficiently track and catalogue the extensive dense group of space objects for space surveillance. As the main instrument for Low Earth Orbit (LEO) space surveillance, ground-based radar systems are usually limited by their resolving power while tracking small, but very dense clusters of space debris. Thus, the information obtained regarding target detection and observation will be seriously compromised, making the traditional tracking method inefficient. Therefore, we conceived the concept of group tracking. The overall motional tendency of a group’s objects is particularly focused, while individual objects are in effect simultaneously tracked. The tracking procedure is based on the Bayesian framework. According to the restriction among the group center and observations of multi-targets, the reconstruction of the number of targets and estimation of individual trajectories can be greatly improved with respect to the accuracy and robustness in the case of high miss alarm. The Markov Chain Monte Carlo Particle (MCMC-Particle) algorithm is utilized to solve the Bayesian integral problem. Finally, the simulation of the tracking of group space objects is carried out to validate the efficiency of the proposed method.
{"title":"Tracking of Group Space Objects within Bayesian Framework","authors":"Huang Jian, Wei-dong Hu","doi":"10.3724/SP.J.1300.2013.20079","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20079","url":null,"abstract":"It is imperative to efficiently track and catalogue the extensive dense group of space objects for space surveillance. As the main instrument for Low Earth Orbit (LEO) space surveillance, ground-based radar systems are usually limited by their resolving power while tracking small, but very dense clusters of space debris. Thus, the information obtained regarding target detection and observation will be seriously compromised, making the traditional tracking method inefficient. Therefore, we conceived the concept of group tracking. The overall motional tendency of a group’s objects is particularly focused, while individual objects are in effect simultaneously tracked. The tracking procedure is based on the Bayesian framework. According to the restriction among the group center and observations of multi-targets, the reconstruction of the number of targets and estimation of individual trajectories can be greatly improved with respect to the accuracy and robustness in the case of high miss alarm. The Markov Chain Monte Carlo Particle (MCMC-Particle) algorithm is utilized to solve the Bayesian integral problem. Finally, the simulation of the tracking of group space objects is carried out to validate the efficiency of the proposed method.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074525","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 : 2013-02-01DOI: 10.3724/SP.J.1300.2013.20072
Xiaolan Qiu, Chuan-zhao Han, Jia-yin Liu
③ (Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) Abstract: Geolocation is a very important step in Synthetic Aperture Radar (SAR) data processing. The precision of geolocation severely affects the applications of SAR images. This paper analyzes the influences on SAR geolocation caused by the traditional "stop-go" approximation, and establishes the range-Doppler equations for the real continuously moving configuration. It also provides a simplified way of solving the equations. Simulations and geolocation experiments on real SAR data of the Beijing area validate the proposed method and show the correctness of the analysis.
{"title":"A Method for Spaceborne SAR Geolocation Based on Continuously Moving Geometry","authors":"Xiaolan Qiu, Chuan-zhao Han, Jia-yin Liu","doi":"10.3724/SP.J.1300.2013.20072","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20072","url":null,"abstract":"③ (Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) Abstract: Geolocation is a very important step in Synthetic Aperture Radar (SAR) data processing. The precision of geolocation severely affects the applications of SAR images. This paper analyzes the influences on SAR geolocation caused by the traditional \"stop-go\" approximation, and establishes the range-Doppler equations for the real continuously moving configuration. It also provides a simplified way of solving the equations. Simulations and geolocation experiments on real SAR data of the Beijing area validate the proposed method and show the correctness of the analysis.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074923","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 : 2013-02-01DOI: 10.3724/SP.J.1300.2013.20104
Zeng Tao, Pi-lei Yin, Xiao-peng Yang, Hua-jian Fan
As a new radar technology, the distributed aperture coherent radar is expected to be the next generation radar, which is easier to transport and less expensive than the traditional large aperture radar. However, the time synchronization and phase synchronization are key issues to be addressed for the distributed aperture coherent radar. In this paper, the error sources of time synchronization and phase synchronization are analyzed, and the corresponding mathematical models are first derived. Then, the impact of synchronization errors on the coherent performance is simulated, and the accuracy of time and phase synchronization is presented based on the simulation results. Finally, the noncorrelation transmission scheme and the calibration scheme based on the wired transmission are proposed to realize the time and phase synchronization, respectively. Research of the synchronization problem could be very helpful to realize the new radar technology of distributed aperture coherent
{"title":"Time and Phase Synchronization for Distributed Aperture Coherent Radar","authors":"Zeng Tao, Pi-lei Yin, Xiao-peng Yang, Hua-jian Fan","doi":"10.3724/SP.J.1300.2013.20104","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20104","url":null,"abstract":"As a new radar technology, the distributed aperture coherent radar is expected to be the next generation radar, which is easier to transport and less expensive than the traditional large aperture radar. However, the time synchronization and phase synchronization are key issues to be addressed for the distributed aperture coherent radar. In this paper, the error sources of time synchronization and phase synchronization are analyzed, and the corresponding mathematical models are first derived. Then, the impact of synchronization errors on the coherent performance is simulated, and the accuracy of time and phase synchronization is presented based on the simulation results. Finally, the noncorrelation transmission scheme and the calibration scheme based on the wired transmission are proposed to realize the time and phase synchronization, respectively. Research of the synchronization problem could be very helpful to realize the new radar technology of distributed aperture coherent","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074899","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 : 2013-02-01DOI: 10.3724/SP.J.1300.2013.20107
Y. Mao, Xiao-jie Wang, M. Xiang
: Joint three-dimensional location algorithms aim to simultaneously obtain the north, east, and height coordinates of each pixel in several adjacent Interferometric Synthetic Aperture Radar (InSAR) scenes. Joint calibration is a key procedure used to achieve an accurate three-dimensional location. It can ensure the continuity of three-dimensional locations among adjacent scenes, and achieve the location of large areas with few Ground Control Points (GCPs) using Tie Points (TPs). In this paper, a new joint calibration algorithm for airborne interferometric SAR that simultaneously calibrates north, east, and height coordinates is proposed. It employs a weighted optimization method to carry out calibration, and introduces weights to calibration to discriminate GCPs and TPs with different coherences and locations. The experimental results for airborne InSAR data show that the three-dimensional location accuracy obtained using the proposed calibration algorithm is better than that obtained using the traditional method.
{"title":"Joint Three-dimensional Location Algorithm for Airborne Interferometric SAR System","authors":"Y. Mao, Xiao-jie Wang, M. Xiang","doi":"10.3724/SP.J.1300.2013.20107","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20107","url":null,"abstract":": Joint three-dimensional location algorithms aim to simultaneously obtain the north, east, and height coordinates of each pixel in several adjacent Interferometric Synthetic Aperture Radar (InSAR) scenes. Joint calibration is a key procedure used to achieve an accurate three-dimensional location. It can ensure the continuity of three-dimensional locations among adjacent scenes, and achieve the location of large areas with few Ground Control Points (GCPs) using Tie Points (TPs). In this paper, a new joint calibration algorithm for airborne interferometric SAR that simultaneously calibrates north, east, and height coordinates is proposed. It employs a weighted optimization method to carry out calibration, and introduces weights to calibration to discriminate GCPs and TPs with different coherences and locations. The experimental results for airborne InSAR data show that the three-dimensional location accuracy obtained using the proposed calibration algorithm is better than that obtained using the traditional method.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074959","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 : 2013-01-01DOI: 10.3724/sp.j.1300.2013.20098
M. Dadi, Huang Yuxin, D. Chibiao
Data processing is time-consuming in the field of Synthetic Aperture Radar (SAR). Graphics Processing Units (GPUs) have tremendous float-point computational ability and a very high memory bandwidth, and the developing Compute Unified Device Architecture (CUDA) technology has enabled the application of GPUs to general-purpose parallel computing. A new method for processing SAR data using GPUs is presented in this paper. Compared with the nominal GPU-based SAR processing method, the number of data transfers between the CPUs and a GPU is reduced from 4 to 1, and the CPUs are exploited to cooperate with the GPU synchronously. By using the proposed method, we can speed up the data processing by 2.3 times, which is verified by the testing with simulated SAR data.
{"title":"Efficient Algorithm for Processing SAR Data Based on GPU","authors":"M. Dadi, Huang Yuxin, D. Chibiao","doi":"10.3724/sp.j.1300.2013.20098","DOIUrl":"https://doi.org/10.3724/sp.j.1300.2013.20098","url":null,"abstract":"Data processing is time-consuming in the field of Synthetic Aperture Radar (SAR). Graphics Processing Units (GPUs) have tremendous float-point computational ability and a very high memory bandwidth, and the developing Compute Unified Device Architecture (CUDA) technology has enabled the application of GPUs to general-purpose parallel computing. A new method for processing SAR data using GPUs is presented in this paper. Compared with the nominal GPU-based SAR processing method, the number of data transfers between the CPUs and a GPU is reduced from 4 to 1, and the CPUs are exploited to cooperate with the GPU synchronously. By using the proposed method, we can speed up the data processing by 2.3 times, which is verified by the testing with simulated SAR data.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074800","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 : 2013-01-01DOI: 10.3724/sp.j.1300.2013.13039
Deng Dong-hu, Z. Qun, Luo Ying, Zhu Ren-fei
Compared to the monostatic radar, bistatic radar has many special characteristics because of its spatial complexity. Bistatic Inverse Synthetic Aperture Radar (Bi-ISAR) can be employed as a radar imaging tool for obtaining non-cooperative target images. In this study, we first analyze the range and azimuth resolution of a Bi-ISAR system. To analyze this azimuth resolution and its spatial-variety characteristic, a definition called con-Doppler bandwidth is introduced, which helps overcome the difficulty of the target's viewing angle diversity calculation. Then, a detailed investigation is conducted to study the micro-Doppler effect caused by the vibration and the rotation of the target in the Bi-ISAR system. By comparing the difference in the micro-Doppler effect between the Bi-ISAR system and the Mono-ISAR system, we modify the extended Hough transform to extract the real micro-motion features of the targets. Finally, we provide some simulation results to validate the theoretical derivation and to illustrate the effectiveness of the proposed method.
{"title":"Resolution and Micro-Doppler Effect in Bi-ISAR System","authors":"Deng Dong-hu, Z. Qun, Luo Ying, Zhu Ren-fei","doi":"10.3724/sp.j.1300.2013.13039","DOIUrl":"https://doi.org/10.3724/sp.j.1300.2013.13039","url":null,"abstract":"Compared to the monostatic radar, bistatic radar has many special characteristics because of its spatial complexity. Bistatic Inverse Synthetic Aperture Radar (Bi-ISAR) can be employed as a radar imaging tool for obtaining non-cooperative target images. In this study, we first analyze the range and azimuth resolution of a Bi-ISAR system. To analyze this azimuth resolution and its spatial-variety characteristic, a definition called con-Doppler bandwidth is introduced, which helps overcome the difficulty of the target's viewing angle diversity calculation. Then, a detailed investigation is conducted to study the micro-Doppler effect caused by the vibration and the rotation of the target in the Bi-ISAR system. By comparing the difference in the micro-Doppler effect between the Bi-ISAR system and the Mono-ISAR system, we modify the extended Hough transform to extract the real micro-motion features of the targets. Finally, we provide some simulation results to validate the theoretical derivation and to illustrate the effectiveness of the proposed method.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074226","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 : 2013-01-01DOI: 10.3724/sp.j.1300.2013.13011
Xiang Yin, Zhang Bing-chen, H. Wen
Sparse microwave imaging requires a nonlinear algorithm that is expensive for large scene imaging. Therefore, the sub-block imaging method, in which the measured data and the relative imaging region are divided into sub-blocks, is studied. Then, a sparse microwave imaging algorithm based on the Least absolute shrinkage and selection operator (Lasso) is performed on each sub-block. Finally, the sub-blocks are combined to obtain the whole image of the large scene. When compared with the overall reconstruction of the sparse scene, the sub-block algorithm can control the amount of data involved in each reconstruction, thereby avoiding frequent accessing of the disk by the signal processor, which is time consuming. Further, the theoretical analysis illustrates that the sub-block sparse imaging method is also accurate and stable, and the associated reconstruction error is no more than two times that of the overall reconstruction. The simulation and real data processing results support the validity of our method.
{"title":"Study on the Sparse Sub-block Microwave Imaging Based on Lasso","authors":"Xiang Yin, Zhang Bing-chen, H. Wen","doi":"10.3724/sp.j.1300.2013.13011","DOIUrl":"https://doi.org/10.3724/sp.j.1300.2013.13011","url":null,"abstract":"Sparse microwave imaging requires a nonlinear algorithm that is expensive for large scene imaging. Therefore, the sub-block imaging method, in which the measured data and the relative imaging region are divided into sub-blocks, is studied. Then, a sparse microwave imaging algorithm based on the Least absolute shrinkage and selection operator (Lasso) is performed on each sub-block. Finally, the sub-blocks are combined to obtain the whole image of the large scene. When compared with the overall reconstruction of the sparse scene, the sub-block algorithm can control the amount of data involved in each reconstruction, thereby avoiding frequent accessing of the disk by the signal processor, which is time consuming. Further, the theoretical analysis illustrates that the sub-block sparse imaging method is also accurate and stable, and the associated reconstruction error is no more than two times that of the overall reconstruction. The simulation and real data processing results support the validity of our method.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70073553","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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