{"title":"Daily monitoring of the mediterranean sea by Geosynchronous SAR","authors":"H. Braun, H. Baessler, C. Jonas","doi":"10.1109/RADAR.2016.7485226","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485226","url":null,"abstract":"RST was involved in studies on a Geosynchron-ous SAR for daily monitoring of large areas. In this study the feasibility of such a system was verified. The SAR is designed to cover the entire Mediterranean Sea once per day. The spatial resolution is with about 20m high enough in order to detect even small boats because the contrast between boats and ocean surface is typically strong enough. The design makes use of TOPS-SAR by Satellite rotation and SCAN-SAR by using multi-feed Parabolic Reflector Antenna as it is under development at European Space Agency ESA and European national space technology programs. This paper shows the design concept and an analysis on potential image quality. It demonstrated that such a system is possible based on today's technology.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133519329","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":"Exploiting temporal proximity for moving target identification using bistatic/passive SAR","authors":"K. Li, U. Pillai, B. Himed","doi":"10.1109/RADAR.2016.7485224","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485224","url":null,"abstract":"Geo-locating moving targets using sequential imaging while exploiting their spatio-temporal proximity is addressed in this paper for bistatic Linear Frequency Modulation (LFM) and Orthogonal Frequency-Division Multiplexing (OFDM) scenes. The approach consists of three major steps (i) Synthetic Aperture Radar/Along-Track Interferometry (SAR/ATI) imaging for moving target detection; (ii) target velocity estimation from ATI phase, and (iii) exploiting spatio-temporal connectivity using sub-aperture outputs for target geo-locations. The bistatic OFDM is more problematic than the bistatic LFM case because of the poor detection performance due to the presence of dominant target sidelobes. The results are demonstrated for various moving target sets in moderate clutter.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128601207","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":"Coherent integration with backprojected images for near field moving target","authors":"Cong Huang, J. Qian, Yong Wang, Yong Jia","doi":"10.1109/RADAR.2016.7485211","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485211","url":null,"abstract":"A signal may not be detected and identified due to the presence of serious noise. Coherent integration is an important approach for focusing the energy of the signal in pulse-Doppler radar. For moving targets, the problem of migration through range cells (MTRC) will degrade the coherent integration result. This paper presents a new coherent integration method for multi-channel radar system to focus near field moving targets. The envelope correction coupled with backprojection in spatial and fast-time domain is performed, followed with coherent integration in slow-time domain. The simulated results demonstrate the effectiveness of the method in target detection.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123931481","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}
A. Hassanien, M. Amin, Yimin D. Zhang, F. Ahmad, B. Himed
{"title":"Non-coherent PSK-based dual-function radar-communication systems","authors":"A. Hassanien, M. Amin, Yimin D. Zhang, F. Ahmad, B. Himed","doi":"10.1109/RADAR.2016.7485066","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485066","url":null,"abstract":"Dual-function radar-communication (DFRC) systems enable information embedding into the radar signal emission. Existing methods for non-coherent phase-modulation DFRC employ multiple pairs of orthogonal waveforms and embed one communication symbol into each pair. The total number of symbols is equal to one-half of the number of waveforms. In this paper, we propose a new signaling strategy for embedding a higher number of communication symbols. The proposed method implements non-coherent phase-shift keying (PSK) by employing one of the orthogonal waveforms as a common reference and modulating the information in terms of the phase differences between all other waveforms and the reference waveform. The number of communication symbols that can be embedded equals the total number of waveforms minus one. We introduce two schemes for achieving a desired phase constellation. The proposed approach is shown to achieve a two-fold increase in the data rate compared to existing methods for a large number of waveforms.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116791984","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":"Local detection of moving target by focusing in SAR images","authors":"V. Vu, M. Pettersson, T. Sjogren","doi":"10.1109/RADAR.2016.7485223","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485223","url":null,"abstract":"We present here a moving target detection method so-called local detection of moving target by focusing. The term local implies that the method only works with areas of interest but not whole SAR scene whereas the term focusing indicates that the method is based on the concept of relative movement. The mathematical background of the method is presented in details. The introduced method is then examined with simulated and experimental SAR data to evaluate the method as well as to show the practicality of the method. The reference SAR system for this study is CARABAS, an airborne UWB low frequency SAR system. The method shows a number of advantages in comparison to the original version.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117268584","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":"Multistatic CFAR detection in non-Gaussian clutter","authors":"R. Palamà, M. Greco, F. Gini","doi":"10.1109/RADAR.2016.7485268","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485268","url":null,"abstract":"This work deals with a target detection algorithm for multistatic and multiple input - multiple output radars. The adopted algorithm is able to keep the false alarm rate constant, if the disturbance samples associated to each receiver-transmitter pair are distributed according to a Compound-Gaussian model. In particular, we analyze the performance of the adopted detection algorithm, in order to evaluate the impact of clutter diversity on the detection performance. To this aim, we simulated the clutter samples by varying the shape parameter of the clutter distribution associated to each receiver-transmitter pair. The results highlight that clutter diversity has a strong impact on the detection performance. In the case of two channels, i.e. two receiver-transmitter pairs, a significant result is that the same value of the probability of the detection is obtained for different couples of the shape parameters associated to the two channels.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122432811","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":"GMTI mismatch analysis for local invariance clutter mitigation","authors":"Hanguang Yu, Xue Jiang, D. Bliss","doi":"10.1109/RADAR.2016.7485081","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485081","url":null,"abstract":"Ground-moving-target indicator (GMTI) has been widely studied and can be formulated into a multiple-input multiple-output (MIMO) radar scenario by taking the advantage of MIMO. Usually, adaptive technique is required for GMTI MIMO radar, which includes space-time adaptive processing (STAP) and invariance statistics technique (invariance on local ground clutter) as we proposed in this paper. However, GMTI system still suffers from some non-idealities when the adaptive technique is applied. Typically, the model mismatch problem degrades the performance of the adaptive technique. Therefore, the model mismatch analysis of both STAP and invariance technique is investigated in this paper.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114178062","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":"Micro-motion signatures of large wind turbines: Case study using a mobile weather radar","authors":"F. Kong, Yan Zhang, R. Palmer","doi":"10.1109/RADAR.2016.7485235","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485235","url":null,"abstract":"The wind turbine interference to radar, usually referred to as the wind turbine clutter can severely degrade radar data quality, which may further impact critical radar operations. The blade rotation, a micro motion regarding to the overall structure, can create complicated Doppler modulations, which state-of-the-art ground clutter filter failed to mitigate. A case study of large utility scale wind turbines using a mobile weather radar was carried out. The goal of the experiment is to explore what useful information can be extracted from the micro-Doppler radar signature of wind turbines, such as the wind direction at each wind turbine and blade structural information.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122118235","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}
Shuai Zhang, Ya Yang, G. Cui, Bing Wang, Hongmin Ji, S. Iommelli
{"title":"Range-velocity jamming suppression algorithm based on adaptive iterative filtering","authors":"Shuai Zhang, Ya Yang, G. Cui, Bing Wang, Hongmin Ji, S. Iommelli","doi":"10.1109/RADAR.2016.7485305","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485305","url":null,"abstract":"We consider the suppression problem of rangevelocity deception jamming based on adaptive iterative filtering algorithm for pulse Doppler (PD) radar. First, we present the real target signal and false target signal model based on digital radio frequency memory (DRFM). Then, we suppress rangevelocity jamming by adaptive iterative filtering algorithm in range dimension processing and Doppler dimension processing for target signal and jamming respectively. At the stage of analysis, we consider multiple real targets and false targets in range-Doppler plane, and evaluate the suppression performance of the proposed algorithm by simulation. The results highlight that the proposed algorithm will converge fast and yield an excellent suppression performance.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122158449","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":"Minimum entropy autofocus for 3D SAR images from a UAV platform","authors":"Ian Fletcher, Colin Watts, E. Miller, D. Rabinkin","doi":"10.1109/RADAR.2016.7485098","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485098","url":null,"abstract":"Newly developed platforms such as unmanned aerial vehicles (UAVs) offer significant potential for broadening the application of synthetic aperture radar (SAR) methods. Position and orientation uncertainties associated with such systems result in a loss of pulse coherence, leading to degradation of the resulting imagery. Building on recent efforts in the development of algorithmic autofocus methods, here we develop a variational autofocus technique for limited aperture, three dimensional SAR image formation. The method is based in the minimization of the image entropy. Results are demonstrated in the context of a UAV SAR under development at Tufts and MIT Lincoln Laboratory.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128325191","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}