{"title":"Duty factor impact on WIFIRAD radar image quality","authors":"S. Rzewuski, K. Kulpa, P. Samczyński","doi":"10.1109/RADARCONF.2015.7411916","DOIUrl":"https://doi.org/10.1109/RADARCONF.2015.7411916","url":null,"abstract":"WIFIRAD - a passive radar demonstrator developed at the Warsaw University of Technology - utilizes signals from the WIFI networks as sources of illumination. As these WIFI signals are not continuous and the duty factor depends on the amount of transmitted data by the WIFI network nodes, authors focused on an impact of the duty factor on the quality of the detections obtained by the WIFIRAD. This paper contains a description of the illuminating signal, a short analysis of an impact of the duty factor on a shape of the cross-ambiguity function and the results of the experiments. The experiment was planned to show how the amount of the traffic in the WIFI network impacts duty factor and how it impacts crossambiguity function obtained by the WIFIRAD. The set of experiments in the bistatic configuration were conducted in an outdoor environment using a 2-node WIFI network, the WIFIRAD as radar and a car as a target. The main goal of this paper is to show how the amount of the illuminating signal impacts the range-Doppler matrix.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122736379","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":"Multi mode projectile tracking with Marginalized Particle Filter","authors":"Ozan Ozgun Bilgin, M. Demirekler","doi":"10.1109/RADARCONF.2015.7411884","DOIUrl":"https://doi.org/10.1109/RADARCONF.2015.7411884","url":null,"abstract":"In this study, dynamic models for thrusting and ballistic flight modes of multi mode projectile are obtained and Marginalization method is applied by separation of the linear and nonlinear parts of state space model. In Marginalized Particle Filter (MPF), dimension of the nonlinear system is reduced so that the model can be utilized to obtain better estimates of the state using the same number of particles as that of standard particle filter. The Extended Kalman Filter (EKF), the Particle Filter (PF) and the Marginalized Particle Filter (MPF) are compared by their RMS errors in position and velocity estimations obtained by Monte Carlo simulations. In general, EKF has the best performance on position estimation and MPF has the best performance on velocity estimation.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127642282","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":"Adaptive normalised matched filter performance in medium grazing angle sea clutter","authors":"M. McDonald, D. Cerutti-Maori","doi":"10.1109/RADARCONF.2015.7411862","DOIUrl":"https://doi.org/10.1109/RADARCONF.2015.7411862","url":null,"abstract":"The detection performance of the adaptive normalised matched filter (ANMF) detector structure is assessed against real multi-channel, medium grazing angle, radar sea clutter data processed via space-time adaptive processing (STAP). Significant departures from constant false alarm rate (CFAR) performance are observed and linked to discrepancies between the assumed form of the spherically invariant random process (SIRP) which is used to derive the ANMF detection statistics and the actual form of the stochastic model representing the real world clutter characteristics.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"14 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132390354","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":"Classification of hybrid-pol data based on Euclidean distance between Stokes vectors","authors":"Ajeet Kumar, R. K. Panigrahi","doi":"10.1109/RADARCONF.2015.7411920","DOIUrl":"https://doi.org/10.1109/RADARCONF.2015.7411920","url":null,"abstract":"In this paper, a new classification technique for hybrid-pol SAR data based on Euclidean distance between Stokes vectors is introduced. The minimum Euclidean distance specifies the maximum similarity between two Stokes vectors which in turn indicates the maximum similarity between polarization behavior of corresponding backscattered waves. On the basis of this similarity, the backscattered wave from a scatterer is classified into three basic scattering mechanisms. We demonstrated that the proposed technique is able to correctly classify the three basic scattering mechanisms and performs better than existing hybrid-pol classification algorithms such as m - δ and m - χ.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130419803","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":"ISAR imaging using the instantaneous Range Instantaneous Doppler method","authors":"Tariq M. Wazna, A. Balamesh, M. Abdul","doi":"10.1109/RADARCONF.2015.7411845","DOIUrl":"https://doi.org/10.1109/RADARCONF.2015.7411845","url":null,"abstract":"In Inverse Synthetic Aperture Radar (ISAR) imaging, the Range Instantaneous Doppler (RID) method is used to compensate for the non-uniform rotational motion of the target that degrades the Doppler resolution of the ISAR image. The Instantaneous Range Instantaneous Doppler method (IRID) is proposed in this paper as a tool that compensates for higher order phase terms that may degrade both, the slant-range resolution and the Doppler resolution of the ISAR image. In IRID, adaptive S-distribution was applied on both the slant-range and Doppler dimensions of the image, thus, producing a better focused ISAR image. The IRID method was applied to simulated and measured data sets, and the ISAR images show that the IRID results offer better visual ISAR images than the RID results.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127553023","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":"Detection and classfication of subsurface objects by polarimetric radar imaging","authors":"C. Koyama, Motoyuki Sato","doi":"10.1109/RADARCONF.2015.7411924","DOIUrl":"https://doi.org/10.1109/RADARCONF.2015.7411924","url":null,"abstract":"The paper addresses the problem of subsurface object detection by polarimetric synthetic aperture radar (PolSAR) imaging. We are developing methods to detect persons and objects buried below-ground from low-frequency ground-based (GB), airborne and spaceborne SAR. An L-band GB-SAR system for fast aerial imaging is under development. Airborne and spaceborne radar imaging data was acquired by the Japanese Pi-SAR-L2 and ALOS-2 (both operated by JAXA), respectively. Both systems operate in the L-band with a center frequency of 1.25 GHz and provide quad-pol data with 3 m resolution. Reflector targets were buried at various depth at a sand beach to investigate the penetration capabilities. Preliminary results indicate that for soils with low permittivity the L-band SAR can detect such targets up to a depth of 20 cm. In addition we present results obtained with a novel polarimetric ultra-wideband (UWB) GB-SAR system developed by our group. This system for polarimetric near-range subsurface imaging of building structures uses a circular polarization spiral antenna array operating in the 5-15 GHz band. By 2 dimensional scanning, 3D subsurface images with super high resolution of 1 cm can be acquired. Based on experimental results from UWB GB-SAR measurements, we discuss the potential to classify subsurface objects by detailed analysis of their scattering behavior. A simple preliminary classification approach based on measured polarimetric signatures is proposed. The results demonstrate the unique potential of high-resolution polarimetric radar imaging to locate and classify subsurface objects by using the information about their scattering mechanisms.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130606653","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}
P. Dzwonkowski, P. Samczyński, K. Kulpa, J. Drozdowicz
{"title":"The concept of a flexible system for radar measurements at low terahertz frequencies","authors":"P. Dzwonkowski, P. Samczyński, K. Kulpa, J. Drozdowicz","doi":"10.1109/RADARCONF.2015.7411902","DOIUrl":"https://doi.org/10.1109/RADARCONF.2015.7411902","url":null,"abstract":"In this paper the authors present a concept of flexible system for conducting a wide variety of radar measurements at lower terahertz band (75-500 GHz) along with its laboratory implementation. The presented system comprises four main parts: a motorized measurement table, a modular analogue intermediary block as well as recording and signal generation hardware and software. A design of the commercial-off-the-shelf (COTS)-based system built in the Radar Techniques Laboratory of the Warsaw University of Technology is presented. Preliminary results obtained using the designed system are also introduced.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115162528","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":"On the detectability of multiple input multiple output (MIMO) radar signals using conventional Electronic warfare support (ES) receivers","authors":"Yen-Hsiang Huang, M. V. van Wyk, J. Cilliers","doi":"10.1109/RADARCONF.2015.7411929","DOIUrl":"https://doi.org/10.1109/RADARCONF.2015.7411929","url":null,"abstract":"Multiple-Input Multiple-Output (MIMO) radar is a more general form of phased array radar, where each antenna in the array transmits mutually linearly independent or orthogonal signals. Modern day growth in computational power has made MIMO more viable than in the past. The potential emergence of practical MIMO radar has prompted an investigation into the detectability of MIMO radar signals using existing conventional Electronic warfare Support (ES) receivers such as the Crystal Video Receiver (CVR) and the Superheterodyne receiver (superhet). The detectability of MIMO radar signals is scarce in literature and this investigation aims to offer insights into the detectability of MIMO radar signals by means of simulations.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113969388","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":"Multi-frequency polarimetric target detection in FM-based passive radar","authors":"F. Colone, P. Lombardo","doi":"10.1109/RADARCONF.2015.7411872","DOIUrl":"https://doi.org/10.1109/RADARCONF.2015.7411872","url":null,"abstract":"The joint exploitation of polarimetric and frequency diversity is considered in this paper as a way to improve the target detection capability in a FM radio-based passive radar. We resort to a Generalized Likelihood Ratio Test (GLRT) approach and derive a fully adaptive multi-frequency polarimetric detector that optimally combines the signals simultaneously received at different carrier frequencies by differently polarized surveillance antennas. The application of the proposed detection scheme to recorded live data demonstrates the effectiveness of the multi-frequency polarimetric operation in typical scenarios, besides the expected improvement due to non-coherent integration of target echoes received on multiple channels. In particular, it is shown to provide remarkable target discrimination capability against interfering sources as well as increased robustness with respect to the time-varying characteristics of the exploited signals of opportunity.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125391611","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":"Copula based dependence modeling for inference in RADAR systems","authors":"Sora Choi, Hao He, P. Varshney","doi":"10.1109/RADARCONF.2015.7411879","DOIUrl":"https://doi.org/10.1109/RADARCONF.2015.7411879","url":null,"abstract":"Statistical dependence is one of the significant design issues in various radar systems for inference tasks including detecting an activity of interest or estimating states or parameters for situational awareness. Modeling dependence has been discussed in many articles on radar and the research has shown that taking dependence into account improves performance of inference tasks. In this paper, we introduce copulas as flexible tools for modeling of nonlinear/linear dependence. Copulas allow one to model the dependence structures among random variables with arbitrary marginal distributions. We explore the potential use of copula theory in radar systems while discussing the dependence modeling problem. Then we present an application for binary hypothesis testing to show the benefit of using copula theory.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128255364","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}