IEEE International Radar Conference, 2005.最新文献

{"title":"Array design for automotive digital beamforming radar system","authors":"K. Schuler, M. Younis, R. Lenz, W. Wiesbeck","doi":"10.1109/RADAR.2005.1435864","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435864","url":null,"abstract":"In this paper, a digital beamforming radar system for automotive short range radar system is presented. It takes advantage of multiple transmitters for increasing the angular resolution. The main focus of this paper is on the optimization of the array configuration to obtain a system for integration into vehicles. A digital beamforming simulator shows the comparison of different configurations.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132703504","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":"Generation of raw stepped-frequency waveform echoes using RCS chamber measurements","authors":"J. Luminati, T. Hale, M. Temple, M.J. Harvrilla, M. Oxley","doi":"10.1109/RADAR.2005.1435960","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435960","url":null,"abstract":"Complicated microwave scattering characteristics of non-point targets are often examined using radar cross section (RCS) chamber measurements. These measurements are designed to be waveform independent. Attempting to gather waveform dependent data on complex target responses typically requires a robust (and expensive) waveform generation and sampling capability beyond that of most RCS chambers. This paper introduces a technique to convert standard RCS chamber measurements into raw stepped-frequency waveform echoes. By controlling the construction and processing of these echoes, many waveformdependent target effects can be examined. After demonstrating the validity of the proposed technique using both 1-D range profiles and 2-D inverse synthetic aperture radar (ISAR) images, the paper examines the effects of linear frequency modulation (LFM) waveform filtering mismatches on an RCS chamber target.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116445228","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":"Scan scheduling of multi-function phased array radars using heuristic techniques","authors":"B. Gillespie, E. Hughes, M. Lewis","doi":"10.1109/RADAR.2005.1435880","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435880","url":null,"abstract":"This paper describes a scan scheduler based on heuristic principles for MPRF airborne fire control radar. The design of the heuristic scheduler is based around a set of simple rules which work in conjunction with a priority framework to provide the required outputs to the system, in this case the next beam azimuth and elevation. A new heuristic scheduling algorithm has been produced that incorporates the elements of the best published algorithms. The heuristic rule set incorporates a hierarchy of function priorities and an overload strategy that provides graceful degradation of surveillance tasks to service target tracking. Simulations were designed and executed to stress the full capabilities of the scheduler. Superior performance was demonstrated in all but the most extreme of overload conditions. In common with all priority-based systems the scheduler surveillance performance degraded under heavy load conditions. This scheduler mitigated this degradation by altering the surveillance volume under load. A novel approach to prioritising beam position updates in heavy loading conditions was implemented such that the beam scanned from the boresight position first. This approach optimises search time by ensuring that the areas with high beam dilation compensation factors were updated at a lower rate. Realistic parameters were used, based on an existing fighter radar system (AN/APG-63) and showed improvements when compared with that radar's existing mechanical system. The chosen PRFs and dwell times gave initial acceptable performance but the adaptability of the MFR allowed the variation of dwell time and data rate to show further performance gains. The set of heuristics used in the scheduler showed emergent behaviour that took account of track loading and the search time available in an overload situation to cope automatically with loading and shedding of tasks. This non-programmed behaviour resulted in graceful degradation of system performance under overload conditions. Although the graceful degradation is emergent behaviour, it can be deduced by formal reasoning and shown to be implied by the heuristic rules.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"28 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116683209","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":"Anti-jamming technique based on sampling reconstruction in parasitic spaceborne SAR system","authors":"Li Wei, Zou Kun, Liang Dian-nong, D. Zhen","doi":"10.1109/RADAR.2005.1435887","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435887","url":null,"abstract":"For the problem of being unable to use spatial info directly to anti-jam in parasitic SAR system with sparse and irregular configured receivers, this paper proposes a new method to use spatial info. This method first uses multi-channel SAR on each small satellite, then uses the nonuniform data to reconstruct a uniform sequence, then uses space-time adaptive processing rather than beamforming to remove effect of jamming. Simulation result shows effectiveness of this method.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114483330","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":"Estimation of range-dependent clutter covariance by configuration system parameter estimation","authors":"A. Jaffer, B. Himed, P.T. Ho","doi":"10.1109/RADAR.2005.1435868","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435868","url":null,"abstract":"The range-dependent nature of the surface clutter power spectrum observed in monostatic or bistatic airborne radar systems results in a mismatch of the clutter covariance matrix (computed from a secondary set of range-cell data) relative to that of a possible target test cell, with attendant degradation of space-time adaptive processing (STAP) performance. In this paper, we develop a new method for predicting the test cell clutter covariance matrix by estimating the configuration system parameters that directly influence the clutter power spectrum. The method uses a multiple complex sinusoid model whose parameters are related to the configuration system parameters, which are then optimized to match the radar return pulse-train data in a least-squares sense. The estimated configuration parameters are then used to predict the clutter covariance matrix in the test cell, which is then used with traditional STAP methods. Computer simulation results are presented that demonstrate the significantly improved STAP performance obtained by the method developed here compared to the conventional method of using the sample covariance matrix estimated from secondary data.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128549263","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 Doppler measurements of ground vehicles","authors":"J. Kjellgren, S. Gadd, N. Jonsson, J. Gustavsson","doi":"10.1109/RADAR.2005.1435835","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435835","url":null,"abstract":"A moving ground vehicle reflects a coherent radar signal depending upon its range rate, rotations and deviations from a rigid body during the integration time of the radar. The time and frequency representations of the received signal present modulations that in some cases are possible to utilize for classification of different vehicles. The experimental work comprises radar measurements including Doppler registrations from a stationary radar observing moving ground vehicles. The data analysis indicates that essential parts of the Doppler fine structure, visible in front and aft aspects, are related to the dimensions of the track of a tracked vehicle and thereby present the possibility to use this structure for discrimination or classification. The interpretation of the Doppler signature requires the target heading relative to the target direction to be known.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134031385","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":"Affordable avian radar surveillance systems for natural resource management and BASH applications","authors":"T. Nohara, P. Weber, A. Premji, C. Krasnor, S. Gauthreaux, M. Brand, G. Key","doi":"10.1109/RADAR.2005.1435785","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435785","url":null,"abstract":"Affordable avian surveillance radar systems have been developed for natural resource management (NRM) and bird air strike hazard (BASH) applications. The system design described herein demonstrates that affordable, commercial off-the-shelf (COTS) marine radars combined with COTS personal computers (PCs) and sophisticated radar processing software can meet system requirements. Real performance data obtained using the Navy's eBirdRad radar unit installed at Patuxent River Naval Air Station demonstrate a significant advancement in state-of-the-art bird detection and tracking. This provides the impetus for maturing the technology into fully operational systems.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"49 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133995615","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":"Target classification using Gaussian mixture model for ground surveillance Doppler radar","authors":"I. Bilik, J. Tabrikian, A. Cohen","doi":"10.1109/RADAR.2005.1435957","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435957","url":null,"abstract":"An automatic target recognition (ATR) algorithm, based on greedy learning of Gaussian mixture model (GMM) is developed in this work. The GMMs were obtained for a wide range of ground surveillance radar targets such as: walking person(s), tracked or wheeled vehicles, animals and clutter. Maximum-likelihood (ML) and \"majority voting\" decision schemes were applied to these models for target classification. The corresponding classifiers were trained and tested using distinct databases of target echoes, recorded by ground surveillance radar. ML and \"majority voting\" classifiers obtained classification rates of 88% and 96%, correspondingly. Both classifiers outperform trained human operators.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133274769","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":"Spatial and temporal independent component analysis of micro-Doppler features","authors":"V. Chen","doi":"10.1109/RADAR.2005.1435849","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435849","url":null,"abstract":"Micro-Doppler features can be regarded as a unique signature of an object with movements and provide additional information for classification, recognition and identification of the object. Independent component analysis (ICA) can decompose micro-Doppler features into independent basis functions that represent salient physical movement attributes of the object. To study ICA of micro-Doppler features, we used a dataset generated by simulation of radar returned signals from rotating objects and tumbling objects. Fast ICA algorithm was used in our study to decompose micro-Doppler features into a set of spatial and temporal independent components. Spatial characteristics of the independent components combined with the corresponding temporal characteristics can be used to improve performance of classification, recognition and identification.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121899615","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":"Empirical mode decomposition of micro-Doppler signature","authors":"C. Cai, Weixian Liu, J. Fu, Lilong Lu","doi":"10.1109/RADAR.2005.1435954","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435954","url":null,"abstract":"Micro-Doppler induced by mechanical vibration or rotation of structures in a radar target is potentially useful for target detection, classification and recognition. In order to exploit the time-varying micro-Doppler signature, time frequency analysis techniques are used. However, they can not represent this useful information clearly all the time. In this paper, we introduce a novel algorithm to extract the micro-Doppler signature using a technique called empirical mode decomposition. Both simulation and the experimental results indicate that EMD provides us an effective way to give better time frequency representation of the micro-Doppler signature.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122236773","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}