Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497305
D. Gromek, P. Samczyński, K. Kulpa, G. C. S. Cruz, T. M. M. Oliveira, L. F. S. Felix, P. A. V. Goncalves, C. M. B. P. Silva, A. L. C. Santos, J. A. P. Morgado
In this paper the experimental results of C-band synthetic aperture radar (SAR) system integration on an unmanned aerial vehicle (UAV) are shown. The goal of the presented trials was to check the capabilities and limitations of the SAR system in UAV applications. The trials were conducted with a UAV system developed and operated by the Portuguese Air Force Academy (PAFA) using a compact SAR system, named SARENKA, developed by the Warsaw University of Technology (WUT).
{"title":"C-band SAR radar trials using UAV platform: Experimental results of SAR system integration on a UAV carrier","authors":"D. Gromek, P. Samczyński, K. Kulpa, G. C. S. Cruz, T. M. M. Oliveira, L. F. S. Felix, P. A. V. Goncalves, C. M. B. P. Silva, A. L. C. Santos, J. A. P. Morgado","doi":"10.1109/IRS.2016.7497305","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497305","url":null,"abstract":"In this paper the experimental results of C-band synthetic aperture radar (SAR) system integration on an unmanned aerial vehicle (UAV) are shown. The goal of the presented trials was to check the capabilities and limitations of the SAR system in UAV applications. The trials were conducted with a UAV system developed and operated by the Portuguese Air Force Academy (PAFA) using a compact SAR system, named SARENKA, developed by the Warsaw University of Technology (WUT).","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130628227","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497328
A. Stove, G. Galati, Francesco De Palo, Christoph Wasserzier, A. Erdogan, Kubilay Savci, K. Lukin
The NATO SET-225 Research Group is planning a series of live trials of Noise Radar technology to be performed in summer, 2016 at the Fraunhofer FHR Institute in Wachtberg (near Bonn). The preliminary architecture of the Demonstrator to be used in these trials is described starting from aims and requirements and arriving to define the main system functions, the parameters and the signal processor. It results that this low-cost demonstrator, although mostly implemented using commercial (or anyway, available) equipment and components, will be functionally close enough to a fully-developed operational Noise Radar system as much as to allow us to assess the potential performance of the operational radar, together with the potential plan and effort required to deliver such a system.
{"title":"Design of a Noise Radar Demonstrator","authors":"A. Stove, G. Galati, Francesco De Palo, Christoph Wasserzier, A. Erdogan, Kubilay Savci, K. Lukin","doi":"10.1109/IRS.2016.7497328","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497328","url":null,"abstract":"The NATO SET-225 Research Group is planning a series of live trials of Noise Radar technology to be performed in summer, 2016 at the Fraunhofer FHR Institute in Wachtberg (near Bonn). The preliminary architecture of the Demonstrator to be used in these trials is described starting from aims and requirements and arriving to define the main system functions, the parameters and the signal processor. It results that this low-cost demonstrator, although mostly implemented using commercial (or anyway, available) equipment and components, will be functionally close enough to a fully-developed operational Noise Radar system as much as to allow us to assess the potential performance of the operational radar, together with the potential plan and effort required to deliver such a system.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131088910","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497366
A. Parshin, Y. Parshin
Paper has described algorithms of the fractal dimension estimation. Their effectiveness is considered in condition of independent and dependent samples of vectors in pseudophase space. Model of the fractal object based on dependent samples is represented. Appliance of these algorithms for textural processing is proposed.
{"title":"Textural processing using maximum likelihood estimation of fractal dimension by independent and dependent samples","authors":"A. Parshin, Y. Parshin","doi":"10.1109/IRS.2016.7497366","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497366","url":null,"abstract":"Paper has described algorithms of the fractal dimension estimation. Their effectiveness is considered in condition of independent and dependent samples of vectors in pseudophase space. Model of the fractal object based on dependent samples is represented. Appliance of these algorithms for textural processing is proposed.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133663173","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497363
S. Bjorklund, T. Johansson, H. Petersson
In security surveillance at the perimeter of critical infrastructure, such as airports and power plants, approaching objects have to be detected and classified. Especially important is to distinguish between humans, animals and vehicles. In this paper, micro-Doppler data (from movement of internal parts of the target) have been collected with a small radar of a low-complexity and cost-effective type. From time-velocity diagrams of the data, some physical features have been extracted and used in a support vector machine classifier to distinguish between the classes "human", "animal" and "man-made object". Both the type of radar and the classes are suitable for perimeter protection. The classification result are rather good, 77% correct classification. Particularly interesting is the surprisingly good ability to distinguish between humans and animals. This also indicates that we can choose to have limitations in the radar and still solve the classification task.
{"title":"Target classification in perimeter protection with a micro-Doppler radar","authors":"S. Bjorklund, T. Johansson, H. Petersson","doi":"10.1109/IRS.2016.7497363","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497363","url":null,"abstract":"In security surveillance at the perimeter of critical infrastructure, such as airports and power plants, approaching objects have to be detected and classified. Especially important is to distinguish between humans, animals and vehicles. In this paper, micro-Doppler data (from movement of internal parts of the target) have been collected with a small radar of a low-complexity and cost-effective type. From time-velocity diagrams of the data, some physical features have been extracted and used in a support vector machine classifier to distinguish between the classes \"human\", \"animal\" and \"man-made object\". Both the type of radar and the classes are suitable for perimeter protection. The classification result are rather good, 77% correct classification. Particularly interesting is the surprisingly good ability to distinguish between humans and animals. This also indicates that we can choose to have limitations in the radar and still solve the classification task.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131819601","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497288
W. Kazimierski, Izabela Bodus-Olkowska, Damian Harasymczuk
The paper presents considerations on presenting of radar data in mobile systems used for navigation in inland waters. The concept of using modern achievements of mobile cartography for this purpose is given. Such approach allows enhancing and facilitating of radar information interpretation, especially for unexperienced users. Short analysis of radar information in inland navigation is included, followed by a concept of using mobile cartography for integration of radar information into inland navigational system.
{"title":"Cartographic aspects of radar information integration in mobile navigation system for inland waters","authors":"W. Kazimierski, Izabela Bodus-Olkowska, Damian Harasymczuk","doi":"10.1109/IRS.2016.7497288","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497288","url":null,"abstract":"The paper presents considerations on presenting of radar data in mobile systems used for navigation in inland waters. The concept of using modern achievements of mobile cartography for this purpose is given. Such approach allows enhancing and facilitating of radar information interpretation, especially for unexperienced users. Short analysis of radar information in inland navigation is included, followed by a concept of using mobile cartography for integration of radar information into inland navigational system.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128517227","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497368
Alice Le Brigant, F. Barbaresco, M. Arnaudon
We are interested in non-stationary targets, and represent their time/Doppler spectra in the form of curves tracing the evolution of the non-stationarity of the radar signal. We explain how to use this representation for Non Cooperative Target Recognition (NCTR) of helicopter signatures. The signature of reference used to recognize a specific type of helicopter is represented by the average curve over multiple simulations where we slightly vary certain parameters, such as the rotation speed of the blades, to model the hazards of real situations. The curves that we consider lie in the statistical manifold of centered stationary Gaussian distributions. In order to compare or average different signatures, the space of such curves is equipped with a metric and seen as a Riemannian manifold. We give algorithms to effectively compute distances and mean curves using this metric.
{"title":"Geometric barycenters of time/Doppler spectra for the recognition of non-stationary targets","authors":"Alice Le Brigant, F. Barbaresco, M. Arnaudon","doi":"10.1109/IRS.2016.7497368","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497368","url":null,"abstract":"We are interested in non-stationary targets, and represent their time/Doppler spectra in the form of curves tracing the evolution of the non-stationarity of the radar signal. We explain how to use this representation for Non Cooperative Target Recognition (NCTR) of helicopter signatures. The signature of reference used to recognize a specific type of helicopter is represented by the average curve over multiple simulations where we slightly vary certain parameters, such as the rotation speed of the blades, to model the hazards of real situations. The curves that we consider lie in the statistical manifold of centered stationary Gaussian distributions. In order to compare or average different signatures, the space of such curves is equipped with a metric and seen as a Riemannian manifold. We give algorithms to effectively compute distances and mean curves using this metric.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133746579","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497282
Markus Bantle, G. Schumacher
We present a Radar Environment Simulator (RES) that simulates the radar environment of a pulse Doppler radar in real-time. Hereby, the RES simulates pre-defined scenarios fully autonomously and interactively with the radar system. The RES generates digital I/Q signals containing radar returns of point sources, jammers and distributed clutter sources. Sophisticated physical models for point source RCS and Doppler, for jammer returns as well as for distributed clutter ensure a very accurate simulation of the radar environment. Because the RES is based on a high performance multicore PC platform consisting of COTS components, it is not only very compact and easy to transport but also cheaper than other traditional hardware based radar environment simulators. Additionally, due to the Software based signal generation, it is easy to extend and maintain.
{"title":"PC based real-time radar environment simulation","authors":"Markus Bantle, G. Schumacher","doi":"10.1109/IRS.2016.7497282","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497282","url":null,"abstract":"We present a Radar Environment Simulator (RES) that simulates the radar environment of a pulse Doppler radar in real-time. Hereby, the RES simulates pre-defined scenarios fully autonomously and interactively with the radar system. The RES generates digital I/Q signals containing radar returns of point sources, jammers and distributed clutter sources. Sophisticated physical models for point source RCS and Doppler, for jammer returns as well as for distributed clutter ensure a very accurate simulation of the radar environment. Because the RES is based on a high performance multicore PC platform consisting of COTS components, it is not only very compact and easy to transport but also cheaper than other traditional hardware based radar environment simulators. Additionally, due to the Software based signal generation, it is easy to extend and maintain.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130581433","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}
In this work, we present a binomial splitting Gaussian mixture unscented Kalman probability hypothesis density (BSGM-UKPHD) filter. The BSGM-UKPHD filter applies a binomial splitting strategy to the original Gaussian mixture unscented Kalman probability hypothesis density (GM-UKPHD) filter, to gain performance promotion when the measurement function is nonlinear. The binomial splitting approximates every Gaussian component of the predicted probability hypothesis density (PHD) with a sum of weighted Gaussian distributions that have smaller covariance. Thus the state update of the nonlinear measurements will cause smaller errors. The binomial splitting preserves the mean and covariance of the original Gaussian distribution, and uses weights from the standardized binomial distribution. Simulation results show that, the proposed BSGM-UKPHD filter outperforms the GM-UKPHD filter and the Gaussian mixture extended Kalman PHD (GM-EKPHD) filter.
{"title":"Binomial splitting Gaussian mixture implementation of the unscented Kalman probability hypothesis density filter","authors":"Peiliang Jing, Ruibin Tu, Shiyou Xu, Zengping Chen","doi":"10.1109/IRS.2016.7497284","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497284","url":null,"abstract":"In this work, we present a binomial splitting Gaussian mixture unscented Kalman probability hypothesis density (BSGM-UKPHD) filter. The BSGM-UKPHD filter applies a binomial splitting strategy to the original Gaussian mixture unscented Kalman probability hypothesis density (GM-UKPHD) filter, to gain performance promotion when the measurement function is nonlinear. The binomial splitting approximates every Gaussian component of the predicted probability hypothesis density (PHD) with a sum of weighted Gaussian distributions that have smaller covariance. Thus the state update of the nonlinear measurements will cause smaller errors. The binomial splitting preserves the mean and covariance of the original Gaussian distribution, and uses weights from the standardized binomial distribution. Simulation results show that, the proposed BSGM-UKPHD filter outperforms the GM-UKPHD filter and the Gaussian mixture extended Kalman PHD (GM-EKPHD) filter.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126948106","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497339
N. Ustalli, D. Pastina, P. Lombardo
The focus of this paper is on the detection of moving targets with a Forward Scatter Radar system. More precisely, a non-coherent detection strategy is considered and theoretical closed-form expressions of the probability of false alarm and of the probability of detection are derived in order to allow performance prediction and support system design. Finally the theoretical contribution is verified through simulations.
{"title":"Theoretical performance prediction for the detection of moving targets with Forward Scatter Radar systems","authors":"N. Ustalli, D. Pastina, P. Lombardo","doi":"10.1109/IRS.2016.7497339","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497339","url":null,"abstract":"The focus of this paper is on the detection of moving targets with a Forward Scatter Radar system. More precisely, a non-coherent detection strategy is considered and theoretical closed-form expressions of the probability of false alarm and of the probability of detection are derived in order to allow performance prediction and support system design. Finally the theoretical contribution is verified through simulations.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121901550","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497317
Olee Hoi Ying Lam, R. Kulke, M. Hagelen, G. Mollenbeck
Moving targets induce unique micro-Doppler signatures. After conducting several measurements with human, vehicle, UAV and animal as targets using a 24 GHz radar, the micro-Doppler signatures are observed through time-velocity diagrams. A simple set of micro-Doppler features are then selected and extracted from the measurement data. Results show the potential of radar as a ground surveillance applications, which can operate under wide range of weather and lighting conditions with high privacy standards and low false alarm rate. This paper also indicates that with I/Q modulation in radar, the direction of the target's motion can be preserved, thus provides a more detailed description of the measured moving target.
{"title":"Classification of moving targets using mirco-Doppler radar","authors":"Olee Hoi Ying Lam, R. Kulke, M. Hagelen, G. Mollenbeck","doi":"10.1109/IRS.2016.7497317","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497317","url":null,"abstract":"Moving targets induce unique micro-Doppler signatures. After conducting several measurements with human, vehicle, UAV and animal as targets using a 24 GHz radar, the micro-Doppler signatures are observed through time-velocity diagrams. A simple set of micro-Doppler features are then selected and extracted from the measurement data. Results show the potential of radar as a ground surveillance applications, which can operate under wide range of weather and lighting conditions with high privacy standards and low false alarm rate. This paper also indicates that with I/Q modulation in radar, the direction of the target's motion can be preserved, thus provides a more detailed description of the measured moving target.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123818413","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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