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2018 19th International Radar Symposium (IRS)最新文献

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Enabling Technologies for High Performance Millimetre and Sub-millimetre Wave Radar 高性能毫米波和亚毫米波雷达使能技术
2018 19th International Radar Symposium (IRS) Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448180
D. Robertson
{"title":"Enabling Technologies for High Performance Millimetre and Sub-millimetre Wave Radar","authors":"D. Robertson","doi":"10.23919/IRS.2018.8448180","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448180","url":null,"abstract":"The successful realisation of high performance millimetre and sub-millimetre wave radars requires key enabling technologies, many of which are not yet commercially available. This paper illustrates some of the key enabling technologies developed to address radar system requirements including chirp generation, feedhorns, duplexing and non-mechanical beam steering. The type of high performance radar system which can be achieved using these technologies is illustrated with the examples of the ‘T-220’ 94 GHz FMCW Doppler radar used for high sensitivity target and clutter phenomenology studies and the ‘CONSORTIS’ 340 GHz 3D imaging radar developed for concealed object detection as required for next generation aviation security screening.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124022110","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
Improved correction methods for measuring altitude by Radar and Barometer 改进了雷达和气压计测高的校正方法
2018 19th International Radar Symposium (IRS) Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8447944
W. Åsen
{"title":"Improved correction methods for measuring altitude by Radar and Barometer","authors":"W. Åsen","doi":"10.23919/IRS.2018.8447944","DOIUrl":"https://doi.org/10.23919/IRS.2018.8447944","url":null,"abstract":"Geometric altitude of air targets may be found from radar or barometric measurement. However, radar rays are affected by changes in refractive index gradients which result in non-normal bending of rays. Similarly, precision of barometric altitude is affected by the atmospheric deviation away from barometer standard calibrated sea level temperature and pressure, and deviation away from standard temperature lapse rate. Together these effects may lead to hundreds of meters of difference in match between barometric geometric height and radar geometric height. In this report we are proposing two alternative altitude correction methods. Both methods are applied to pairs of ground radar and barometry altitude of civilian airplanes. The most promising of the methods relies on using the meteorological atmospheric forecasting model AROME Arctic. For several of our measurement series this procedure reduces averaged difference between barometric altitude and radar altitude from 400–700 meters down to about 100 meters.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127579371","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
Blind Velocities Mitigation For DDMA MIMO GMTI Radar Via Multi-Frequency Signals 基于多频信号的DDMA MIMO GMTI雷达盲速抑制
2018 19th International Radar Symposium (IRS) Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8447976
Fuyou Li, Feng He, Z. Dong, Manqing Wu, Yongsheng Zhang, Zaoyu Sun
{"title":"Blind Velocities Mitigation For DDMA MIMO GMTI Radar Via Multi-Frequency Signals","authors":"Fuyou Li, Feng He, Z. Dong, Manqing Wu, Yongsheng Zhang, Zaoyu Sun","doi":"10.23919/IRS.2018.8447976","DOIUrl":"https://doi.org/10.23919/IRS.2018.8447976","url":null,"abstract":"Multiple-Input Multiple-Output (MIMO) radar has a potential advantage to improve the performance of ground moving target indication (GMTI) radar due to the larger virtual array. Waveform design is a key point to implement MIMO GMTI radar. Doppler division multiple access (DDMA) waveforms are a class of almost ideal orthogonal waveform, which can separate the echoes from different transmitters in Doppler domain. However, the high PRF is required in DDMA MIMO GMTI radar. In other words, blind velocities will arise in DDMA systems. Especially, the problem is worse in the MIMO radar with high carrier frequency, large number of transmitters, and/or low pulse repetition frequency (PRF). The blind velocities are related to the carrier frequencies. Employing multi-frequency signals is an efficient method to mitigate blind velocities. In this paper, a method called “multi-frequency DDMA” is proposed. Multiple signals with different carrier frequencies are transmitted by multiple transmitters. Theoretical analysis and simulation results demonstrate it is effective to mitigate blind velocities for MIMO GMTI radar with DDMA waveforms to employ multi-frequency signals.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126264078","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
Multi Static Long Range Multi Band 3D Passive Radar - Latest Developments at Hensoldt Sensors 多静态远程多波段三维无源雷达- Hensoldt Sensors的最新发展
2018 19th International Radar Symposium (IRS) Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448178
S. Lutz, V. Winkler, Rainer Müller, Clemens Klöck
{"title":"Multi Static Long Range Multi Band 3D Passive Radar - Latest Developments at Hensoldt Sensors","authors":"S. Lutz, V. Winkler, Rainer Müller, Clemens Klöck","doi":"10.23919/IRS.2018.8448178","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448178","url":null,"abstract":"This paper shows the current state of passive radar development at Hensoldt Sensors. After a short introduction, the systems architecture and the realization of the multstatic long range multiband passive radar is presented. The architecture allows the simultaneous processing of up to 16 analog FM transmitters and in addition eight digital transmitters like DVBT and DAB. The implemented multi hypothesis tracking allows the real-time tracking of over 100 targets during maneuvers over 4g. Furthermore, the architecture multi band antenna subsystem and the receiver chain is introduced and discussed. Finally, some real-time measurements of the demonstrator system are presented.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127937556","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
On the use of GPGPU computing for Space-Time Adaptive Processing on airborne systems GPGPU计算在机载系统空时自适应处理中的应用
2018 19th International Radar Symposium (IRS) Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448100
Jean-François Degurse, S. Kemkemian
{"title":"On the use of GPGPU computing for Space-Time Adaptive Processing on airborne systems","authors":"Jean-François Degurse, S. Kemkemian","doi":"10.23919/IRS.2018.8448100","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448100","url":null,"abstract":"New generation radar systems offer both morefi equency bandwidth and multi-channel receiving capability. This allows the use ofadvancedsignalprocessing algorithms, which delivers a major performance leap, but the amount of data to be processed and the computational workload drastically increases. In the paper, we focus on Space-Time Adaptive Processing (STAP) which purpose is to remove ground echoes, in order to enhance slow moving target detection. The downside of STAP is its high computational cost. Graphical Processing Unit (GPU) processors are used for several years now to perform general purpose computing. Although not originally made for scientifc computing, their high performance per watt efficiency on certain tasks makes it an ideal candidate for embedded radar systems where physical size and electrical consumption are very limited. We investigate the use of such processors for this application and compare their performances with classical general-purpose processor (CPU).","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115775690","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
Experimental Evaluation of Compressive Sensing for DoA Estimation in Automotive Radar 压缩感知在汽车雷达DoA估计中的实验评价
2018 19th International Radar Symposium (IRS) Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448197
Aitor Correas-Serrano, M. González-Huici
{"title":"Experimental Evaluation of Compressive Sensing for DoA Estimation in Automotive Radar","authors":"Aitor Correas-Serrano, M. González-Huici","doi":"10.23919/IRS.2018.8448197","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448197","url":null,"abstract":"Radar sensors are one of the key elements in highly automated driving systems. Their performance is robust independently of weather and visibility conditions, being able to detect targets up to hundreds of meters distance. In vehicles, radar sensors are required to estimate the range, doppler shift and direction of arrival of the reflected wave. In this contribution we will focus on the direction of arrival (DoA) estimation, which, while being crucial for environmental perception, still has considerable room for improvement. In particular, we aim to measure the performance of Compressive Sensing (CS) based algorithms applied for reconstruction of the DoA. In contrast to the traditional FFT approach, these algorithms are able to exploit sparse antenna configurations with a reduced number of Tx and Rx channels and a large effective aperture. For this purpose, a series of relevant metrics are defined and applied to measurements in representative open-air driving scenarios acquired with an automotive 4x8 MIMO radar operating at 77GHz. The results show that, when compared with the FFT, these algorithms display an overall enhanced angular estimation accuracy, resolution and false alarm ratio","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134143680","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: 22
Subspace-Based Technique for Improvement of Shallow Buried Landmine GPR Imaging 改进浅埋地雷探地雷达成像的子空间技术
2018 19th International Radar Symposium (IRS) Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448095
Jacek Jendo, M. Pasternak
{"title":"Subspace-Based Technique for Improvement of Shallow Buried Landmine GPR Imaging","authors":"Jacek Jendo, M. Pasternak","doi":"10.23919/IRS.2018.8448095","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448095","url":null,"abstract":"The clearance of anti-personnel (AP) landmines using ground penetrating radar (GPR) is challenging task because the response from shallow buried targets is usually overlapped with strong direct coupling signal and reflection from the surface. In this paper, the new approach utilizing time-domain constrained (TDC) estimator for GPR to remove undesirable clutter is presented. The proposed technique was tested with a model of PMA-1 AP landmine and compared to commonly used GPR background removal algorithms. The results are promising and reveal good spatial resolution of obtained imaging.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130814302","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
Doppler Beam Sharpening for Angular Refinement at 150 GHz – Initial Experimentation 150 GHz角细化的多普勒波束锐化-初步实验
2018 19th International Radar Symposium (IRS) Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448091
L. Daniel, S. Cassidy, D. Phippen, E. Hoare, A. Stove, M. Cherniakov, M. Gashinova
{"title":"Doppler Beam Sharpening for Angular Refinement at 150 GHz – Initial Experimentation","authors":"L. Daniel, S. Cassidy, D. Phippen, E. Hoare, A. Stove, M. Cherniakov, M. Gashinova","doi":"10.23919/IRS.2018.8448091","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448091","url":null,"abstract":"In this paper we apply the Doppler beam sharpening technique of azimuth refinement to the emerging area of low-THz radar. This improves the image quality and thus aids object classification in low-THz radar imaging systems, for example for autonomous platforms. The paper briefly explains the theory behind the process of Doppler beam sharpening; this is then experimentally tested and verified against two closely space corner reflector reference targets.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130975388","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
Cognitive Radar Principles and Application to Interference Reduction 认知雷达原理及其在干扰抑制中的应用
2018 19th International Radar Symposium (IRS) Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448217
Markus Steck, C. Neumann, M. Bockmair
{"title":"Cognitive Radar Principles and Application to Interference Reduction","authors":"Markus Steck, C. Neumann, M. Bockmair","doi":"10.23919/IRS.2018.8448217","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448217","url":null,"abstract":"The ongoing increasing demand for electromagnetic spectrum due to a strongly developing market for communication systems makes it difficult to perform safe operation of modern radar systems as there are more and more emitters operating at nearby frequencies. Also the operation of several radar systems of the same kind may rise interference problems in cases where the available bandwidth is limited and leading to overlapping in frequency regions. Interferences caused by those circumstances can cause significant performance losses of the radar systems. By means of a new radar concept, which is known under the title “Cognitive Radar” [1], [2] new solutions for this problem can be found. This paper discusses the architecture of how the “Cognitive Radar” can be constructed, i.e. which components are necessary in the architecture and how they have to interact with each other to characterize a “Cognitive Radar” approach. As an example, a method using adaptive processing for suppression of strong interference signals is presented. Finally, a quick overview of applications in upcoming radar systems, which achieve a significant market advantage with the help of this new technology, will be presented.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133473590","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: 6
Iron Tunnel Recognition Using Statistical Characteristics of Received Signals in Automotive Radar Systems 基于接收信号统计特性的汽车雷达隧道识别
2018 19th International Radar Symposium (IRS) Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448246
Seongwook Lee, Byeong-ho Lee, Jae-Eun Lee, Heonkyo Sim, Seong-Cheol Kim
{"title":"Iron Tunnel Recognition Using Statistical Characteristics of Received Signals in Automotive Radar Systems","authors":"Seongwook Lee, Byeong-ho Lee, Jae-Eun Lee, Heonkyo Sim, Seong-Cheol Kim","doi":"10.23919/IRS.2018.8448246","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448246","url":null,"abstract":"In this paper, we propose an iron tunnel recognition method using statistical characteristics of received signals in automotive radar systems. Iron tunnels have periodic steel-framed structures, which generate unwanted reflected signals called radar clutter. This clutter degrades the detection performance of the automotive radar and leads to misdetection of targets. To mitigate the adverse effect of the clutter, an efficient method to recognize iron tunnels using an automotive radar must be established in advance. Thus, we suggest an effective iron tunnel recognition method based on the concept that the statistical characteristics of signals received in iron tunnels differ from those on normal roads. Then, on the basis of these statistics, we use the support vector machine to distinguish iron tunnels from normal roads.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115708098","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
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