{"title":"OFDM waveforms for multistatic radars","authors":"Y. Paichard","doi":"10.1109/RADAR.2010.5494440","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494440","url":null,"abstract":"In this paper, the benefits of OFDM waveforms are analyzed for multistatic radar systems, where several radar stations cooperate in the same frequency band. The signal is coded over a 2D pattern, in the time and the frequency domains, using orthogonal Golay complementary sets derived from Reed-Muller codes. Binary data are also encoded in the signal. The obtained ambiguity and cross-ambiguity functions show that the OFDM signal structure is well adapted for radar applications. Transmitted waveforms have relatively low interference and sidelobe levels in the range and Doppler axis.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115064200","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}
S. Maresca, M. Greco, F. Gini, R. Grasso, S. Coraluppi, N. Thomas
{"title":"The HF surface wave radar WERA. Part I: Statistical analysis of recorded data","authors":"S. Maresca, M. Greco, F. Gini, R. Grasso, S. Coraluppi, N. Thomas","doi":"10.1109/RADAR.2010.5494505","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494505","url":null,"abstract":"Surface wave (SW) over-the-horizon (OTH) radars are not only widely used for ocean remote sensing, but they can also be exploited in integrated maritime surveillance systems. This paper represents the first part of the description of the statistical and spectral analysis performed on sea backscattered signals recorded by the oceanographic WEllen RAdar (WERA) system. Data were collected on May 13th 2008 in the Bay of Brest, France. The data statistical analysis, after beamforming, shows that for near range cells the signal amplitude fits well the Rayleigh distribution, while for far cells the data show a more pronounced heavy-tailed behavior. The causes can be traced in man-made (i.e. radio communications) and/or natural (i.e. reflections of the transmitted signal through the ionosphere layers, meteor trails) interferences.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116237614","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":"Waveform decorrelation for multitarget localization in bistatic MIMO radar systems","authors":"Jun Yu Li, G. Liao, Kejiang Ma, Cao Zeng","doi":"10.1109/RADAR.2010.5494659","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494659","url":null,"abstract":"The autocorrelation and crosscorrelation properties of transmit waveform set have great effect on the performance of MIMO radar systems. However, it is difficult to design waveform set which have ideal autocorrelation property as well as crosscorrelation one. In this paper, a decorrelation method has been proposed to cancel the effects of the autocorrelation and crosscorrelation of the transmit waveform by exploiting the given statistical properties of waveform. The correlation property of noise after decorrelation is also analyzed. Then a close form solution for localization of the multiple targets is presented via ESPRIT. Simulation results demonstrate the effectiveness of the proposed methods.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122305819","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":"Passive bistatic ISAR based on geostationary satellites for coastal surveillance","authors":"D. Pastina, M. Sedehi, D. Cristallini","doi":"10.1109/RADAR.2010.5494500","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494500","url":null,"abstract":"The paper proposes a new passive bistatic ISAR mode for coastal surveillance based on the exploitation of the signals transmitted by telecommunication geostationary satellites. Specifically it is demonstrated that ISAR images with acceptable quality of ship targets could be obtained by using telecommunication geostationary satellites as opportunity transmitters and stationary passive devices, located near the coast, as receivers. The geostationary satellites assure a continuous and complete coverage of wide areas: moreover satellites available in the near future should also provide a bandwidth suitable for the achievement of medium slant range resolutions. Since in ISAR the target motion is exploited to obtain cross-range resolution, a network of stationary low cost receiving only devices could be therefore properly located on the coast to obtain ISAR images of ship targets of interest for the surveillance and monitoring of the maritime traffic.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"293 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122407222","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}
M. Ruggiano, E. Stolp, W. D. de Heij, P. van Genderen
{"title":"Experiments showing an improvement of angular resolution by LMMSE-based processing","authors":"M. Ruggiano, E. Stolp, W. D. de Heij, P. van Genderen","doi":"10.1109/RADAR.2010.5494570","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494570","url":null,"abstract":"Azimuth target resolution is of crucial importance in many applications of radar. The primary radar parameter affecting the azimuth resolution is the antenna beamwidth. However, in practice, standard signal processing techniques require the distance between targets to be more than one resolution cell. This can prove inadequate for several relevant applications. This paper describes the results obtained from experiments aimed at testing the capabilities of angular resolution between targets separated by less than the beamwidth in azimuth by means of linear minimum mean square error, LMMSE, -based processing. Results show the capabilities of this technique of separating targets in such a scenario. The processing scheme shows a strong improvement in the resolution capability with respect to standard techniques.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116719312","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 region-growing based clustering approach for extended object tracking","authors":"V. Leonhardt, G. Wanielik, Stephan Kälberer","doi":"10.1109/RADAR.2010.5494554","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494554","url":null,"abstract":"In the case a scenery consisting of multiple moving objects has to be observed and analyzed by using radar, it may occur that extended objects cause more than one observation. As a consequence, a conventional tracking algorithm, that bases on the assumption of point objects, has to process lots of observations, generates several tracks per object and thus is slowed down distinctly. Moreover, it is necessary to sort out and merge the tracks before they can be used. In order to avoid these problems, a clustering algorithm for radar-based object tracking is presented in this paper. The algorithm combines, assigns and discards observations before they are passed on to the tracking. Thereby not only the observations are utilized, but also the existing tracks. Furthermore, the method proposed and its benefits are tested in the example of an automotive object tracking system.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116840439","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":"Topology of high-contrast patches in SAR images","authors":"P. Knee, Visar Berisha, A. Spanias, Tom Taylor","doi":"10.1109/RADAR.2010.5494491","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494491","url":null,"abstract":"With continuing growth in sensor capabilities and database complexity, the analysis and understanding of large data sets becomes increasingly important. Numerous researchers have recently explored the geometry and topology of high contrast patches in natural images in an attempt to understand the underlying manifold of the data. The results show that the majority of natural image patches are best represented by corners and edges, as one would expect from visual inspection. In this paper, we extend this analysis to log-magnitude SAR images from the MSTAR database. Our results show that the most representative high contrast patches in SAR images lie among the clutter however methods extracting target patches only show results more similar to that obtained for natural imagery. Contrary to their natural image counterparts however, high contrast patches in SAR imagery lack a significant geometric structure.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128450559","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":"Spatially-varying calibration of along-track monopulse synthetic aperture radar imagery for ground moving target indication and tracking","authors":"U. Majumder, M. Soumekh, Michael Minardi, J. Kirk","doi":"10.1109/RADAR.2010.5494577","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494577","url":null,"abstract":"In this research, we have developed an algorithm to reduce the residual artifacts of the background clutter (that is, stationary targets) that appear in the MTI imagery that are generated by Global Signal Subspace Difference (GSSD) of the monostatic and bistatic images of an along-track monopulse synthetic aperture radar (SAR) data. We have also established the theoretical foundation for estimating the motion track and parameters of the detected moving targets. We will show the results of these algorithms on measured SAR data.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128758773","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":"Use of reference architectures to achieve low-risk, affordable radar designs","authors":"T. W. Jeffrey","doi":"10.1109/RADAR.2010.5494615","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494615","url":null,"abstract":"The availability of radar reference architectures for software and hardware can enable the development of affordable radar systems through maximal reuse and low-risk designs. Affordability through reduced design cycle times and efficient integration and test of new radars is crucial to remain competitive and to maintain leadership in developing world-class phased-array radars. Necessary complements to these developments are reusable radar processing algorithms and functions necessary to rapidly synthesize these new radar designs. A compilation of algorithms used by common ground-based and sea-based radar reference architectures is described. Notional radar software and hardware building blocks or \"widgets\" are also identified. These architectural building blocks can be used to synthesize scalable radar architectures by employing software and hardware reference architectures. This synthesis approach is illustrated by providing examples using two different radar applications. This approach is applicable to all radar systems, in addition to systems-of-systems, where the building architectural blocks are the component system reference architectures.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128604384","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":"Analysis of MIMO radar ambiguity functions and implications on clear region","authors":"Rajesh Sharma","doi":"10.1109/RADAR.2010.5494562","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494562","url":null,"abstract":"Multiple input multiple output (MIMO) radar offers the potential for improved performance over more traditional single input multiple output (SIMO) radar. MIMO radar operates by transmitting separable waveforms from multiple transmitters and the resulting radar echos are received by multiple receivers. While there is a great deal of literature discussing the benefits of MIMO techniques, a handful of publications discussing the limitations of MIMO radar techniques have appeared in the literature. Of particular interest is the work addressing the reduction of the clear area in range-Doppler space [2]. Using a particular form of the MIMO ambiguity function, it was shown for a MIMO radar transmitting N waveforms there is a reduction of the clear area by a factor of 1/N. In this paper, we repeat this analysis for the ambiguity function applicable to a coherent MIMO radar. We show the MIMO ambiguity function proposed in [2] does not fully capture some important features of coherent MIMO radar and differs from versions of the ambiguity function proposed by other authors. In the second half of this paper, we derive the MIMO ambiguity function for coded pulse train waveforms. In addition to the traditional narrowband assumption, we develop the MIMIO ambiguity function using the “start-and-hop” radar signal model.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129004774","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}