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2017 18th International Radar Symposium (IRS)最新文献

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UAV detection with MIMO radar 用MIMO雷达探测无人机
2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008140
J. Klare, O. Biallawons, D. Cerutti-Maori
{"title":"UAV detection with MIMO radar","authors":"J. Klare, O. Biallawons, D. Cerutti-Maori","doi":"10.23919/IRS.2017.8008140","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008140","url":null,"abstract":"The use of unmanned aerial vehicles (UAVs) for different kind of remote sensing applications, for security observations, for inspections of critical infrastructures and for hobby purposes increases continuously worldwide. However, UAVs can also be used for spying actions using high sensitive microphones and high resolution cameras or as carrier of improvised explosive devices (IEDs) for terrorist attacks. Thus, it is very important to develop real-time systems which can both detect and track UAVs in critical areas in order to start adapted countermeasure actions. This paper describes the ability of MIMO imaging radar for UAV detection and tracking by presenting experimental results of a multi sensor measurement campaign.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"316 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130369089","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: 37
A reduced-rank STAP algorithm for simultaneous clutter plus jamming suppression in airborne MIMO radar 机载MIMO雷达杂波加干扰抑制的降阶STAP算法
2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008095
Ting Wang, Yongjun Zhao, Jie Huang, Ke Jin, K. Zhang
{"title":"A reduced-rank STAP algorithm for simultaneous clutter plus jamming suppression in airborne MIMO radar","authors":"Ting Wang, Yongjun Zhao, Jie Huang, Ke Jin, K. Zhang","doi":"10.23919/IRS.2017.8008095","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008095","url":null,"abstract":"A reduced-rank (RR) space-time adaptive processing (STAP) method for simultaneous clutter plus jamming suppression in airborne multiple-input multiple-output (MIMO) radar is proposed. Firstly, the system parameters of MIMO radar STAP are utilized to construct the clutter subspace offline. Next, an auxiliary channel allocated with the matched filter orthogonal to all the transmit waveforms is utilized to achieve the accurate estimation of the jamming plus noise covariance matrix. Finally, through exploiting the off-line constructed clutter subspace and the block-diagonal property of jamming plus noise covariance matrix, the zero-forcing method is applied to obtain the MIMO-STAP weight vector. The proposed method can provide an approximate full-dimension optimum performance for clutter plus jamming suppression, while the computational complexity can be significantly decreased. Simulation results demonstrate the effectiveness of the proposed RR MIMO-STAP method in the presence of clutter and jammers.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126778447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Repeat-pass autofocus for airborne polarimetric synthetic aperture radar tomography 航空偏振合成孔径雷达层析成像的重复通道自动对焦
2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008229
H. Cantalloube, Alice Combernoux, H. Oriot
{"title":"Repeat-pass autofocus for airborne polarimetric synthetic aperture radar tomography","authors":"H. Cantalloube, Alice Combernoux, H. Oriot","doi":"10.23919/IRS.2017.8008229","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008229","url":null,"abstract":"Synthetic aperture radar tomography, or volume imaging with a side-looking radar uses a two-dimensional aperture made of several antenna paths along more or less parallel trajectories. The carrier motion providing the along track extension of the aperture, and the across-track extension is provided by multiple cross-track antenna or by repeated acquisition along parallel lines. The relative position of the individual antenna centres within the aperture is highly demanding (its accuracy requirement is in the order of magnitude of on tenth of wavelength). The absolute positioning is less demanding: it has an impact on the image registration (which does not require accuracy beyond the image resolution, typically several wavelengths) and to a lesser extend to the topographic effects in motion compensation (but DTM resolution is generally even much lower than that of the image). The relative successive positions during the aperture can be refined by autofocus (using the resulting image sharpness to increase the trajectory accuracy) for the along-track separation. For the across-track separation, especially in repeat-pass airborne acquisitions, the same direct approach is not feasible because volume extension of the landscape is low (typically the height of a tree compared to the image stripe length) and the aperture sampling across-track is sparse (each new antenna centre require a new acquisition line that takes tens of minutes of flight). Co-registration by correlating the images obtained from individual acquisition lines is not enough since the autofocus only refines the relative positions within the along-track aperture, leaving error build up at low frequency.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126792452","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
Improvement in SNR of signal detection using filtering in pulsar-based navigation systems 利用滤波提高脉冲星导航系统信号检测的信噪比
2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008258
C. Kabakchiev, V. Behar, P. Buist, I. Garvanov, D. Kabakchieva, M. Bentum, J. Fernandes
{"title":"Improvement in SNR of signal detection using filtering in pulsar-based navigation systems","authors":"C. Kabakchiev, V. Behar, P. Buist, I. Garvanov, D. Kabakchieva, M. Bentum, J. Fernandes","doi":"10.23919/IRS.2017.8008258","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008258","url":null,"abstract":"This paper focuses on application of pulsar signals for pulsar-based navigation. The aim of the study is to present a possible algorithm for signal processing of pulsar signals, which consists of epoch folding, filtering and detection, and evaluate it using the real experimental data obtained from the radio observatory Dwingeloo, the Netherlands.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127581980","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
Azimuth angle estimation of multiple targets using Sinusoidal Frequency Modulated Continuous Wave radar 正弦调频连续波雷达多目标方位角估计
2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008138
Linlin Huang, Weijie Xia, Juntong Zhang, Peibei Cao
{"title":"Azimuth angle estimation of multiple targets using Sinusoidal Frequency Modulated Continuous Wave radar","authors":"Linlin Huang, Weijie Xia, Juntong Zhang, Peibei Cao","doi":"10.23919/IRS.2017.8008138","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008138","url":null,"abstract":"A new radar system, Sinusoidal Frequency Modulated Continuous Wave radar is used to estimate azimuth angles of radar targets. It overcomes the defect that the Linear Frequency Modulated Continuous Wave radar fails to determine the azimuth angles of multiple targets at the same distance simultaneously. However, it is more difficult to estimate azimuth angles from this complicated radar echoes than traditional linear frequency modulated radar signals. An effective solution based on Short Time Fourier Transform and Inverse Radon Transform is presented. Simulation results indicate that this method provides robustness to noise and promising azimuth angles estimation performance for several targets at different distances or even at the same distance.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122250881","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
Time-frequency analysis of RFI data and interference suppression using match pursuit algorithm RFI数据时频分析及匹配追踪算法干扰抑制
2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008238
Yueli Li, Zhimin Zhou, C. Fan
{"title":"Time-frequency analysis of RFI data and interference suppression using match pursuit algorithm","authors":"Yueli Li, Zhimin Zhou, C. Fan","doi":"10.23919/IRS.2017.8008238","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008238","url":null,"abstract":"In this paper, we analyze the characteristics of the radio frequency interference (RFI) data in the time-frequency domain. A matching pursuit (MP) method is proposed for RFI suppression in ultra-wideband synthetic aperture radar (UWB-SAR) system. The algorithm decomposes the SAR echo over a modified Gabor dictionary to remove the significant RFI. The performance for the algorithm is investigated by using the raw data.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115924028","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
Verification of neural approach to radar-AIS tracks association for maneuvering targets based on kinematic spatial information 基于运动空间信息的机动目标雷达- ais航迹关联神经方法验证
2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008248
W. Kazimierski
{"title":"Verification of neural approach to radar-AIS tracks association for maneuvering targets based on kinematic spatial information","authors":"W. Kazimierski","doi":"10.23919/IRS.2017.8008248","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008248","url":null,"abstract":"The paper undertakes a problem of tracking radar and AIS fusion in maritime navigation. The focus is laid on target association process, which is the basis for track-to-track fusion. The analysis provides neural approach to association process in which neural network classifies if the association should be stated or not. The paper includes theoretical basics of the proposed approach, as well as numerical experiment in which the performance of various neural networks for association is analyzed. Research scenario includes course maneuver of the target and the conclusions confirms promising results obtained with the use of neural networks.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131668414","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
A performance comparison of RELAX and MODE for multipath height finding RELAX和MODE在多径寻高中的性能比较
2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008122
A. Laribi, Markus Hahn, J. Dickmann, C. Waldschmidt
{"title":"A performance comparison of RELAX and MODE for multipath height finding","authors":"A. Laribi, Markus Hahn, J. Dickmann, C. Waldschmidt","doi":"10.23919/IRS.2017.8008122","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008122","url":null,"abstract":"To measure the height of extended targets using radar wave multipath propagation, the line-of-sight (LOS) and the longest non-line-of-sight (NLOS) echos from a coherent target must be resolved accurately. This paper compares the performance of the recursive Fourier algorithm RELAX and the Method of Direction Estimation (MODE) algorithm for the purpose of multipath height finding. The main comparison consists of determining how accurate can a target height be estimated based on the LOS and NLOS spectrum output of the RELAX and the MODE algorithm. A multipath propagation model is presented and a target height formula is derived based on Sensor-Target geometry. It is then shown from the derived height formula that the height estimation accuracy of the algorithm highly depends on the range resolution of the sensor. The RELAX and MODE algorithms are applied separately to real world data for multipath components resolving. The extracted frequency and amplitude parameters are then used to retrieve target heights. The estimated height results based on RELAX and MODE spectrum are then compared and discussed. The results show that under sufficient Signal to Noise Ratio (SNR), MODE can achieve similar performance as RELAX using lower computation costs.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131085304","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
Automotive radar sensor for ultra short range applications 用于超短程应用的汽车雷达传感器
2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008134
F. Jansen
{"title":"Automotive radar sensor for ultra short range applications","authors":"F. Jansen","doi":"10.23919/IRS.2017.8008134","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008134","url":null,"abstract":"A small form factor, 79 GHz, MIMO radar sensor with 2D angle of arrival estimation capabilities was designed for automotive applications. It offers a 0.05 m distance resolution required to make small minimum distance measurements. The radar dimensions are 42×44×20 mm3 enabling installation in novel side locations. This aspect, combined with a wide field of view, creates a coverage that compliments the near range coverage gaps of existing long and medium range radars. Therefore, this radar supports novel radar applications such as parking aid and can be used to create a 360 degrees safety cocoon around the car.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128895802","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
Extended target detection of MIMO radar based on GLRT in compound-Gaussian clutter 复合高斯杂波下基于GLRT的MIMO雷达扩展目标检测
2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008237
Xiaobin Liu, Jin Liu, F. Zhao, Xiaofeng Ai, Guoyu Wang
{"title":"Extended target detection of MIMO radar based on GLRT in compound-Gaussian clutter","authors":"Xiaobin Liu, Jin Liu, F. Zhao, Xiaofeng Ai, Guoyu Wang","doi":"10.23919/IRS.2017.8008237","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008237","url":null,"abstract":"Multiple-input multiple-output (MIMO) radars with wideband signals are useful to discriminate target in clutter. With wideband MIMO radar, the problem of extended target detection in compound-Gaussian clutter is considered in this paper. By obtaining target echoes from each antenna, the detector based on generalized likelihood ratio test (GLRT) is developed. It shows that the shape parameter of clutter, Doppler mismatches and antenna configurations of MIMO radar heavily affect the performance of GLRT detector. Therefore, the detection performance is respectively analysed with different shape parameters and Doppler mismatches. By using maximum likelihood estimation (MLE), the detection curves with typical parameters are presented to illustrate that the proposed detector outperforms that obtained in Gaussian clutter. Then, the detection performance is discussed with different antenna configurations. Mathematical analysis and simulation results show that the detection performance reaches the best when the numbers of transmitters and receivers are equal, which provides reference for the antenna configuration of MIMO radar.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"336 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124306632","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
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