{"title":"Detection of radar signals in nonstationary correlated sea clutter","authors":"I. Prokopenko, V. Vovk, K. Prokopenko","doi":"10.23919/IRS.2017.8008236","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008236","url":null,"abstract":"In this paper we synthesize optimal algorithm for detection of harmonic signal with known frequency and unknown phase in correlated sea clutter with exponential covariation function. We made analysis of efficiency of the synthesized algorithm for detection of high-speed targets by centimeter radar for different weather conditions (sea states) by statistical simulations.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"112 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":"116196561","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 time budget optimization subject to angle accuracy constraint via cognitive approach","authors":"M. Meller","doi":"10.23919/IRS.2017.8008150","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008150","url":null,"abstract":"The problem of minimizing dwell time in multifunction phased array radar is considered. Target of interest is assumed to fluctuate according to a generalization of Swerling family and the parameters of fluctuation model are assumed to be known. The a'priori position of the target is uncertain. Optimization, whose variables include pulse count and array transmit beampattern, is carried out subject to achieving a desired accuracy of angular coordinate estimates.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"6 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":"123636164","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":"Multiple target detection using Rotman Lens beamforming","authors":"Alexander Pautz, M. Hägelen, R. Kulke","doi":"10.23919/IRS.2017.8008178","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008178","url":null,"abstract":"This paper presents a new development of a 24 GHz radar frontend with a Rotman Lens as a beamforming network. The main objective of the project is the accurate detection and localization of multiple targets at the same distance from the radar system. Interferometric systems determine the direction for a target with the phase difference through at least two receiving antennas. If multiple targets are located on the same distance but another angle or via multipath dispersion, the measurements can't discriminate between these targets. The proposed system can be used for different applications, e.g. collision avoidance or monitoring of critical areas.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"12 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":"123810599","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}
Vojtech Stejskal, H. Kuschel, T. Brenner, Leszek Lamentowski, Idar Norheim-Næss, P. Samczyński, J. Kulpa
{"title":"DETOUR trials: The mission and its results","authors":"Vojtech Stejskal, H. Kuschel, T. Brenner, Leszek Lamentowski, Idar Norheim-Næss, P. Samczyński, J. Kulpa","doi":"10.23919/IRS.2017.8008191","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008191","url":null,"abstract":"In this paper DMPAR Evaluation Trials for Operationally Upgraded Radar (DETOUR) and their results for a selected scenario are described. The DETOUR trials were conducted by the SET-195 research task group (RTG) under an umbrella of NATO Science and Technology Organization from September 1 to 4, 2014 as a part of the DMPAR (Deployable Multi-band Passive/Active Radar) algorithms' evaluation process. An idea of DMPAR was to combine active and passive surveillance components in a collocated and distributed net of sensors, which would bring multiple benefits. By focusing on one of the trial scenarios, the paper describes all of them, in a form of the measured data analysis. Beside the trials, positive aspects of the combined active and passive surveillance components are discussed.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"57 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":"129479914","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":"Benefits of target prioritization for phased array radar resource management","authors":"Z. Ding, P. Moo","doi":"10.23919/IRS.2017.8008153","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008153","url":null,"abstract":"In a Multi-Function Radar (MFR), the radar surveillance plays a critical role to optimize the radar performance. The surveillance usually takes more time than other functions. In this paper, we use the Adapt_MFR, an MFR radar simulator, to analyze the benefits of target prioritization. By simulation of a multiple target scenario, we try to find out both the benefits and disadvantages of prioritization. The main conclusion is that higher priority targets could be sorted out and assigned with more radar resources, by reducing lower priority targets' usage of radar time. Both kinematic and attribute information are used to calculate the target priorities. More radar resources means a faster update rate for tracking purpose, thus highly manoeuvring and weak targets can be detected and tracked. In the meantime, those lower priority targets could still be tracked using surveillance beams, losing some accuracy.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"1 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":"129524564","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}
Tilmann Giese, J. Klappstein, J. Dickmann, C. Wöhler
{"title":"Road course estimation using deep learning on radar data","authors":"Tilmann Giese, J. Klappstein, J. Dickmann, C. Wöhler","doi":"10.23919/IRS.2017.8008125","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008125","url":null,"abstract":"One of the most fundamental tasks in autonomous driving is the recognition of the road ahead. Using radar data, this is usually done via rule based algorithms. This paper proposes a deep learning approach to estimate the course of the ego lane based on occupancy grids generated by radar sensors. The method is also able to simultaneously give a reliability measurement of the predicted driving path. An automatic labeling process is engaged by utilizing the known ego pose of the vehicle obtained by a high precision positioning sensor. Due to its automated labeling process, learning data can be built up very cost efficiently.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"1 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":"130133117","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":"Research on W-band FMCW Rail-SAR system with high resolution","authors":"Hui Wang, Yongjiang Xia, Man Jiang, Lingzhen Kong","doi":"10.23919/IRS.2017.8008230","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008230","url":null,"abstract":"Combined with short wavelength of the w-band and small volume and low cost advantage of the FMCW SAR, much attention has been paid to the application of W band FMCW SAR with high resolution imaging to close small target imaging. This paper introduces a W-band Rail FMCW SAR used to small target imaging in near-distance. Based on the system parameters simulation and design, the design of the system scheme is also given. In addition, using the modified RD imaging algorithm to get the point target simulation result. The result proves the feasibility and reliability of the system.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"46 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":"116433558","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":"A novel 670 GHz hybrid frequency extender for portable automotive radar applications","authors":"D. Vizard, E. Hoare, M. Gashinova, M. Cherniakov","doi":"10.23919/IRS.2017.8008163","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008163","url":null,"abstract":"The potential of the Low THz spectrum for high resolution imaging applications such as automotive radar is described. Outdoor experiments require compact and portable equipment which may be achieved by extending the operation of current battery powered vector network analyzers. The development of a hybrid 670 GHz VNA based radar is described including instrument performance data.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"334 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":"116562076","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":"Motion compensation for platform-mounted high frequency surface wave radar","authors":"Yue Ma, Weimin Huang, E. Gill","doi":"10.23919/IRS.2017.8008098","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008098","url":null,"abstract":"A method for mitigating antenna motion effects in high frequency radar Doppler spectra developed from ocean backscatter is proposed. Based on the established radar cross section models for a fixed antenna and for an antenna on a floating platform, the relationship between these models is developed. Through this relationship, motion compensation can be achieved by deconvolving the radar cross section data with the derived transfer function. A least squares deconvolution (LSD) method is applied in this study and shows good performance.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"7 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":"134205219","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}
F. M. Vieira, F. Vincent, J. Tourneret, D. Bonacci, M. Spigai, M. Ansart, J. Richard
{"title":"Improving synthetic aperture radar detection using the automatic identification system","authors":"F. M. Vieira, F. Vincent, J. Tourneret, D. Bonacci, M. Spigai, M. Ansart, J. Richard","doi":"10.23919/IRS.2017.8008208","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008208","url":null,"abstract":"This paper studies a maritime vessel detection method based on the fusion of data obtained from two different sensors, namely a synthetic aperture radar (SAR) and an automatic identification system (AIS) embedded in a satellite. In this work we propose a detector that uses the vessel position provided by the AIS system to improve the radar detection performance. The problem is handled by a generalized likelihood ratio test leading to a detector whose test statistics has a simple closed form expression. The distribution of the test statistics under the hypotheses is also determined, allowing theoretical and simulated receiver operational characteristics (ROCs) to be compared. Our results indicate that the proposed method improves detection performance and motivates the joint use of raw radar data with AIS demodulated information for ship detection.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"9 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":"134307488","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}