Pub Date : 2014-01-15DOI: 10.3724/SP.J.1300.2013.13087
Hongbo Sun, Guang-dong Chen, Gong Zhang
{"title":"Estimation of Aircraft Attitude/Heading Based on the Polarization of Electromagnetic Waves: Estimation of Aircraft Attitude/Heading Based on the Polarization of Electromagnetic Waves","authors":"Hongbo Sun, Guang-dong Chen, Gong Zhang","doi":"10.3724/SP.J.1300.2013.13087","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13087","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"466-475"},"PeriodicalIF":0.0,"publicationDate":"2014-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074100","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 : 2014-01-15DOI: 10.3724/SP.J.1300.2013.13040
Yin-wei Li, Wei Lideng, Xiang Maosheng
The measurement inaccuracies of Inertial Measurement Unit/Global Positioning System (IMU/GPS) as well as the positioning error of the target may contribute to the residual uncompensated motion errors in the MOtion COmpensation (MOCO) approach. Aiming at the effects of target positioning error on MOCO for airborne interferometric SAR, the paper deduces a mathematical model of the residual motion error caused by the target positioning error under the condition of squint. Also, the effects of the system sampling delay, Doppler center frequency, and reference DEM errors on the residual motion error that result in target positioning error based on the model are analyzed. Then, the paper discusses the effects of the reference DEM error on the interferometric SAR image quality, the interferometric phase, and the coherent coefficient. The research provides theoretical basis for the MOCO precision in signal processing of the airborne high precision and airborne repeat-pass interferometric SARs.
{"title":"Effects of Target Positioning Error on Motion Compensation for Airborne Interferometric SAR: Effects of Target Positioning Error on Motion Compensation for Airborne Interferometric SAR","authors":"Yin-wei Li, Wei Lideng, Xiang Maosheng","doi":"10.3724/SP.J.1300.2013.13040","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13040","url":null,"abstract":"The measurement inaccuracies of Inertial Measurement Unit/Global Positioning System (IMU/GPS) as well as the positioning error of the target may contribute to the residual uncompensated motion errors in the MOtion COmpensation (MOCO) approach. Aiming at the effects of target positioning error on MOCO for airborne interferometric SAR, the paper deduces a mathematical model of the residual motion error caused by the target positioning error under the condition of squint. Also, the effects of the system sampling delay, Doppler center frequency, and reference DEM errors on the residual motion error that result in target positioning error based on the model are analyzed. Then, the paper discusses the effects of the reference DEM error on the interferometric SAR image quality, the interferometric phase, and the coherent coefficient. The research provides theoretical basis for the MOCO precision in signal processing of the airborne high precision and airborne repeat-pass interferometric SARs.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"492-498"},"PeriodicalIF":0.0,"publicationDate":"2014-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074298","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 : 2014-01-15DOI: 10.3724/SP.J.1300.2013.13054
Yan Zhou-jie, Wang Hua-bing, Chen Yuan-zheng, Zhao Yan-li
For an oversized front distributed phased-array radar, the conventional phased-array radar calibration algorithm cannot be applied. Hence, this paper presents a combination of self- and cross-calibration algorithms. For the oversized front distributed phased-array radar, the error sources are analyzed, and the error model is established. Then, the self- and cross-calibration techniques and their principles are presented. In addition, this method is extended to the phased-array radar from units. Finally, we conducted self-intersecting phase calibration simulation experiments, and the results show that the algorithm can significantly improve the sidelobe level of the oversized front distributed phased-array radar.
{"title":"Self-cross Phase Calibration Method of Oversized Front Distributed Phased Array Radar","authors":"Yan Zhou-jie, Wang Hua-bing, Chen Yuan-zheng, Zhao Yan-li","doi":"10.3724/SP.J.1300.2013.13054","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13054","url":null,"abstract":"For an oversized front distributed phased-array radar, the conventional phased-array radar calibration algorithm cannot be applied. Hence, this paper presents a combination of self- and cross-calibration algorithms. For the oversized front distributed phased-array radar, the error sources are analyzed, and the error model is established. Then, the self- and cross-calibration techniques and their principles are presented. In addition, this method is extended to the phased-array radar from units. Finally, we conducted self-intersecting phase calibration simulation experiments, and the results show that the algorithm can significantly improve the sidelobe level of the oversized front distributed phased-array radar.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"439-444"},"PeriodicalIF":0.0,"publicationDate":"2014-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074414","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 : 2014-01-15DOI: 10.3724/SP.J.1300.2013.13056
Meng Da-di, Huang Yuxin, Shi Tao, Sun Rui, Liang Xiao-bo
Synthetic Aperture Radar (SAR) image processing requires a considerable amount of computational resources. Traditionally, this task runs on a workstation or a server based on Central Processing Units (CPUs) and is rather time-consuming, making real-time processing of SAR data impossible. Based on Compute Unified Device Architecture (CUDA) technology, a new plan for a SAR imaging algorithm operated on an NVIDIA Graphic Processing Unit (GPU) is proposed. The new proposal makes it possible for the data processing procedure and the CPU/GPU data exchange to execute concurrently, especially when the size of SAR data exceeds the total GPU global memory size. A multi-GPU is suitably supported by the new proposal, and all computational resources are fully exploited. It has been shown by an experiment on an NVIDIA K20C and INTEL E5645 that the proposed solution accelerates SAR data processing by tens of times. Consequently, a GPU based SAR processing system that embeds the proposed solution is much more efficient and portable, thereby making it qualified to be a real-time SAR data processing system. Experiments showed that SAR data can be processed in real-time at a rate of 36 megapixels per second by a K20C when the new solution is implemented.
{"title":"Airborne SAR Real-time Imaging Algorithm Design and Implementation with CUDA on NVIDIA GPU","authors":"Meng Da-di, Huang Yuxin, Shi Tao, Sun Rui, Liang Xiao-bo","doi":"10.3724/SP.J.1300.2013.13056","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13056","url":null,"abstract":"Synthetic Aperture Radar (SAR) image processing requires a considerable amount of computational resources. Traditionally, this task runs on a workstation or a server based on Central Processing Units (CPUs) and is rather time-consuming, making real-time processing of SAR data impossible. Based on Compute Unified Device Architecture (CUDA) technology, a new plan for a SAR imaging algorithm operated on an NVIDIA Graphic Processing Unit (GPU) is proposed. The new proposal makes it possible for the data processing procedure and the CPU/GPU data exchange to execute concurrently, especially when the size of SAR data exceeds the total GPU global memory size. A multi-GPU is suitably supported by the new proposal, and all computational resources are fully exploited. It has been shown by an experiment on an NVIDIA K20C and INTEL E5645 that the proposed solution accelerates SAR data processing by tens of times. Consequently, a GPU based SAR processing system that embeds the proposed solution is much more efficient and portable, thereby making it qualified to be a real-time SAR data processing system. Experiments showed that SAR data can be processed in real-time at a rate of 36 megapixels per second by a K20C when the new solution is implemented.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"481-491"},"PeriodicalIF":0.0,"publicationDate":"2014-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074421","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 : 2014-01-15DOI: 10.3724/SP.J.1300.2013.13036
Chuanguo Lu, Xin-xi Feng, Yunbo Kong, Rong Zeng, Hong-ying Li
{"title":"Track Initiation Based on Parallel Hough Transform: Track Initiation Based on Parallel Hough Transform","authors":"Chuanguo Lu, Xin-xi Feng, Yunbo Kong, Rong Zeng, Hong-ying Li","doi":"10.3724/SP.J.1300.2013.13036","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13036","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"147 1","pages":"292-299"},"PeriodicalIF":0.0,"publicationDate":"2014-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074180","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 : 2014-01-15DOI: 10.3724/SP.J.1300.2013.13068
Hongwei Zhu, Xiaoming Tang, You He
{"title":"Observability Analysis of Sensor Bias Based on the Track-independent Model: Observability Analysis of Sensor Bias Based on the Track-independent Model","authors":"Hongwei Zhu, Xiaoming Tang, You He","doi":"10.3724/SP.J.1300.2013.13068","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13068","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"454-460"},"PeriodicalIF":0.0,"publicationDate":"2014-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074428","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 : 2014-01-15DOI: 10.3724/SP.J.1300.2013.13069
Yixiang Hu, Guo Yu, Yuanfei Zhang
{"title":"Research on Characteristics of RC Polyphase Network for Quadrature Signal Generator: Research on Characteristics of RC Polyphase Network for Quadrature Signal Generator","authors":"Yixiang Hu, Guo Yu, Yuanfei Zhang","doi":"10.3724/SP.J.1300.2013.13069","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13069","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"476-480"},"PeriodicalIF":0.0,"publicationDate":"2014-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074435","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 : 2014-01-15DOI: 10.3724/SP.J.1300.2013.13083
Yan Liang, Sun Pei-lin, Yi Lei, Han Ning, Tang Jun
The Compound-Gaussian (CG) distribution is widely used for modeling non-Gaussian clutter, as its texture component describes the non-Gaussian properties of the clutter. In this paper, a CG model with an inverse-Gaussian texture distribution, called the Inverse-Gaussian Compound-Gaussian (IG-CG) distribution, is proposed, and its distributional properties are derived. IPIX radar lake-clutter measurements have been analyzed, and the results show that the two-parameter IG-CG distribution model fits real radar data better than a single parameter IG-CG distribution model or a K distribution model.
{"title":"Modeling of Compound-Gaussian Sea Clutter Based on an Inverse Gaussian Distribution: Modeling of Compound-Gaussian Sea Clutter Based on an Inverse Gaussian Distribution","authors":"Yan Liang, Sun Pei-lin, Yi Lei, Han Ning, Tang Jun","doi":"10.3724/SP.J.1300.2013.13083","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13083","url":null,"abstract":"The Compound-Gaussian (CG) distribution is widely used for modeling non-Gaussian clutter, as its texture component describes the non-Gaussian properties of the clutter. In this paper, a CG model with an inverse-Gaussian texture distribution, called the Inverse-Gaussian Compound-Gaussian (IG-CG) distribution, is proposed, and its distributional properties are derived. IPIX radar lake-clutter measurements have been analyzed, and the results show that the two-parameter IG-CG distribution model fits real radar data better than a single parameter IG-CG distribution model or a K distribution model.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"461-465"},"PeriodicalIF":0.0,"publicationDate":"2014-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074049","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 : 2014-01-15DOI: 10.3724/SP.J.1300.2013.13043
Jing Tian, G. Liao, Zhiwei Yang
{"title":"Performance Analysis of Oblique Projection Filtering Based on Polarization Sensitive Array: Performance Analysis of Oblique Projection Filtering Based on Polarization Sensitive Array","authors":"Jing Tian, G. Liao, Zhiwei Yang","doi":"10.3724/SP.J.1300.2013.13043","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13043","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"284-291"},"PeriodicalIF":0.0,"publicationDate":"2014-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074335","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 : 2013-12-27DOI: 10.3724/SP.J.1300.2013.13047
Yi-rong Wu
{"title":"Concept of Multidimensional Space Joint-observation SAR: Concept of Multidimensional Space Joint-observation SAR","authors":"Yi-rong Wu","doi":"10.3724/SP.J.1300.2013.13047","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13047","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":"2 1","pages":"135-142"},"PeriodicalIF":0.0,"publicationDate":"2013-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074353","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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