S. Melo, E. Marchetti, S. Cassidy, E. Hoare, A. Bogoni, M. Gashinova, M. Cherniakov
{"title":"24 GHz Interferometric Radar for Road Hump Detections in Front of a Vehicle","authors":"S. Melo, E. Marchetti, S. Cassidy, E. Hoare, A. Bogoni, M. Gashinova, M. Cherniakov","doi":"10.23919/IRS.2018.8448029","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448029","url":null,"abstract":"This paper presents an interferometric radar system using SFCW to detect small road obstacles at 24 GHz. Experimental results confirm the effectiveness of the method employed to estimate the hump’s height, and it can be used in the context of driver assistance or even driverless cars in a future.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"53 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":"115719093","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}
{"title":"Target Detection Using Optimal Load Matching and Interference Nulling","authors":"Y. Parshin, M. Grachev","doi":"10.23919/IRS.2018.8448224","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448224","url":null,"abstract":"Spatial processing of signals is taking into account the mutual influence of the antenna array elements. The change in the antenna array matrix of the mutual impedances leads to a mismatch between the load impedances and the output impedances of the antenna array elements. As a result, the output signal-to-interference ratio can be increased by optimizing the load impedances. The optimization problem is solved. Optimal load impedances are derived depending on the signal-to-interference situation. Calculations was carried for elements in the form of thin vibrators and for more general case by the scaling method. The gain from optimal matching in comparison with the load actions in the absence of mutual influence is calculated, as well as in the case of applying non-optimal mutual impedances, when the mutual influence is present","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"116 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":"124211315","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}
{"title":"Ship classification based on trajectory data with machine-learning methods","authors":"Paul Kraus, C. Mohrdieck, F. Schwenker","doi":"10.23919/IRS.2018.8448028","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448028","url":null,"abstract":"Determining the type of a vessel solely by trajectory data is a desirable capability with many potential applications, however it is also a nontrivial task. In this paper, various machine-learning techniques are combined to train a model which is able to achieve this goal. In order to acquire training data, Automatic Identification System (AIS) messages collected from terrestrial and satellite base stations have been converted into ship trajectories including corresponding ship types. Since AIS is error-prone, preprocessing is applied to prepare the trajectories and remove errors from the dataset. Subsequently, we introduce a new set of features which contains behavioural and geographical properties, as well as daytime context information. Based on the generated features, a classification algorithm is trained to distinguish between five types of vessels: Cargo, Tanker, Passenger, Fishing and Other. Additionally, the influence of vessel dimensions as discriminative features is analyzed.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"17 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":"124539450","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}
{"title":"RCS of Radar Targets using Gaussian Beam Summation Method. Experimental Evaluation","authors":"H. Ghanmi, A. Khenchaf, P. Pouliguen, P. O. Leye","doi":"10.23919/IRS.2018.8448088","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448088","url":null,"abstract":"We present an experimental validation of the numerical simulations of RCS using Gaussian Beam Summation method (GBS) in X band. In the high-frequency approximation, the main advantages of the GBS over ray method are related to the caustic problem. In this paper, the performance of GBS is illustrated with numerical and experimental evaluations of RCS of radar targets (flat plate, shell cylinder and a hollow cylinder with an aperture). The GBS method has been compared with Gaussian Beam Launching (GBL), classical Physical Optic (PO), and Method of Moment (MoM) and with experimental measurements. The experimental measurements have been realized in the anechoic chamber of the Lab-STICC (ENSTA Bretagne).","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"86 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":"116887321","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}
{"title":"4-Channel I/Q-Radar System For Vital Sign Monitoring In A Baby Incubator","authors":"Daniel Schmiech, Simon Muller, A. Diewald","doi":"10.23919/IRS.2018.8448163","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448163","url":null,"abstract":"With the system presented here a radar based sensor can be used to measure two vital signs, respiratory rate and heart rate, without the need of contact between patient and sensor. Operating at 24 GHz a frequency-modulated continuous-wave (FMCW) radar with a bandwidth of 250 MHz will be used. The antenna structure has been optimized to get a footprint just as big as the region of interest on the bed surface of the incubator. To measure the movement direction of the infants‘ chest, a branch-line coupler has been designed to get I- and Q-Signals. Based on the limited space inside of an incubator, a compact radar front end (RF-Front end) is developed by using microstrip line vias.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"15 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":"122001322","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}
{"title":"Radar and Optical Image Fusion using Airborne Sensor Data from the Heligoland Island","authors":"H. Anglberger, J. Fischer, D. Frommholz","doi":"10.23919/IRS.2018.8448211","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448211","url":null,"abstract":"An accurate geometrical alignment of remote sensing data is the basis for higher-level image processing techniques used to extract information. Fusing radar image data with other sensor data sources states a special case because the coordinate system is based on the measured range which causes ambiguous regions due to layover effects. An accurate 3D representation of the scene is essential to find a fitting geometrical transformation between the respective sensor image spaces. This paper applies a method that accurately maps detailed 3D information of the German island of Heligoland to the slant-range-based coordinate system of radar images imaged by DLR’s airborne F-SAR sensor. The highly accurate 3D information along with optical imagery has been acquired by DLR’s airborne optical sensor system MACS.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"5 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":"128224731","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}
{"title":"SAR Target Recognition via Joint Manifold Regularized Low-Rank Matrix Approximation","authors":"Meiting Yu, Siqian Zhang, Linbin Zhang, Lingjun Zhao, Gangyao Kuang","doi":"10.23919/IRS.2018.8448099","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448099","url":null,"abstract":"In this paper, synthetic aperture radar (SAR) image target recognition via joint manifold regularized low-rank matrix approximation (JMLMA) is presented. To capture the low-dimensional representation of SAR images, the low-rank matrix approxi mation framework is employed. However, in the actual application, targets are classified in the presence of variation in configuration and articulation, thus the underling manifold structure information may be missing in the learning process. To solve the problem, a joint manifold regularization term formed with different manifold models is proposed and incorporated into the low-rank matrix approximation framework. Hence, the pro posed method can not only obtain the low-dimension representation of SAR images, but also capture the intrinsic manifold structure in samples. We conduct experiments on pub licly available MSTAR database to verify the the effectiveness of the proposed method.","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":"126048639","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}
C. Sturm, Y. L. Sit, Gang Li, Hamid Afrasiabi Vayghan, U. Lübbert
{"title":"Automotive Fast-Chirp MIMO Radar with Simultaneous Transmission in a Doppler-Multiplex","authors":"C. Sturm, Y. L. Sit, Gang Li, Hamid Afrasiabi Vayghan, U. Lübbert","doi":"10.23919/IRS.2018.8447895","DOIUrl":"https://doi.org/10.23919/IRS.2018.8447895","url":null,"abstract":"This paper presents an approach that allows the simultaneous radiation of fast chirp waveforms from multiple transmit antennas with perfect orthogonality. In contrast to conventional MIMO concepts, which typically consider one dimension of the signal, in this new approach the signals are multiplexed along the second dimension of the rangeDoppler-matrix. In addition to the theoretical discussion, proof-of-concept measurements with an automotive radar prototype are shown.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"54 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":"127639731","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}
{"title":"Ubiquitous Imaging Radar: System Concept and Resolution Performance","authors":"Qilei Zhang, Manqing Wu, Wenxian Yu","doi":"10.23919/IRS.2018.8448103","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448103","url":null,"abstract":"This paper proposes a notional radar system: Ubiquitous Imaging Radar (UIR). The system configuration of UIR is motivated by the concept of ‘ubiquitous radar’ and, the imaging principle is motivated by the concept of ‘generalized aperture’. Therefore, the proposed UIR can be able to realize persistent observation of wide areas and high-resolution three-dimensional imaging. As a beginning, the system concept of UIR is briefly outlined and the signal model is presented. To evaluate the imaging resolution performance, generalized ambiguity function (GAF) is introduced and modified for UIR. At last, a typical parameterized example is used to provide a quantitative analysis of the resolution performance.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"20 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":"134022111","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}
{"title":"The Influence of Channel Errors in Mobile Passive Radar using DVB-T Illuminators of Opportunity","authors":"P. Wojaczek, D. Cristallini","doi":"10.23919/IRS.2018.8447912","DOIUrl":"https://doi.org/10.23919/IRS.2018.8447912","url":null,"abstract":"In this paper the effects of inter-channel inequalities of the receiving chain of a moving passive radar system are analyzed. The purpose of the mobile passive radar is the detection of moving targets using techniques such as DPCA or STAP. These techniques rely on calibrated receiving hardware. As the purpose of a passive radar is covert operation, the use of an external emitting source for calibration is not preferred, but a digital calibration during the postprocessing could provide a solution. We analyze the influence of different inter-channel inequalities in order to become familiar with their implications on the moving target detection. Furthermore we present as a solution a digital calibration making use of the direct-signal to correct the inter-channel errors.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"26 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":"133069193","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}