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2018 International Conference on Radar (RADAR)最新文献

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M-SPURT–Compressing the Target Characterization for a Fast Monostatic RCS Simulation 快速单静态RCS仿真中的m - sprt压缩目标特性
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557287
Henna Perala, Minna Vaila, J. Jylha
{"title":"M-SPURT–Compressing the Target Characterization for a Fast Monostatic RCS Simulation","authors":"Henna Perala, Minna Vaila, J. Jylha","doi":"10.1109/RADAR.2018.8557287","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557287","url":null,"abstract":"Applications such as radar performance prediction and automatic target recognition (ATR) require a compact description of the target and the ability to simulate target signatures fast. The complexity of the target model often slows the estimation of the radar cross section (RCS). We propose a target characterization method that uses two separate techniques to compress the information and to simplify the computations: employing a value for the maximum carrier frequency for the RCS and considering only nearly specular scattering. While the latter also affects the accuracy of the RCS, the compression maintains the main characteristics of the signature and hypothetically the validity for ATR. We present computation time and disk space comparisons showing the significant decrease in required resources. The effect of the compression level on the RCS values and distribution, and high range resolution profiles is visualized. A radar measurement is presented as a comparison to show the general validity of the simulation method.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115194831","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}
引用次数: 3
First Results from the Ingara L-Band SAR Ingara l波段SAR的初步结果
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557257
M. Preiss, A. Goh, P. Pincus
{"title":"First Results from the Ingara L-Band SAR","authors":"M. Preiss, A. Goh, P. Pincus","doi":"10.1109/RADAR.2018.8557257","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557257","url":null,"abstract":"A significant challenge for Intelligence, Surveillance and Reconnaissance (ISR) systems is the detection and possible identification of concealed targets, for example vehicles and structures under foliage. Low Frequency (LF) imaging radar sensing offers a number of unique phenomenologies and modalities that can address this problem. To investigate the utility of L-band to provide a useful Foliage Penetration (FOPEN) capability the Defence Science and Technology (DST) Group has developed an 8 channel, fully polarimetric L- band SAR. This paper describes the capabilities of this system as well as results from the first engineering test flights conducted in September 2017. Key objectives of the trials were the calibration of the full 8 channel array and the demonstration of repeat-pass and along-track interferometric processing.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122711246","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}
引用次数: 1
Long Time Accumulation Algorithm Based on KT-Radon and CPF 基于KT-Radon和CPF的长时间积累算法
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557343
Leilei Wang, Wentao Li, Xuezhi Zhang
{"title":"Long Time Accumulation Algorithm Based on KT-Radon and CPF","authors":"Leilei Wang, Wentao Li, Xuezhi Zhang","doi":"10.1109/RADAR.2018.8557343","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557343","url":null,"abstract":"In order to solve the problem of range migration and Doppler spread in the detection of target with higher order motion during long-time integration, in this paper, an improved signal accumulation method based on Keystone transform(KT), Radon Transform(RT) and Cubic phase function(CPF) is proposed. Firstly, the algorithm uses KT-Radon to correct the range migration of the echo, then by using CPF to estimate high order phase, the acceleration and the jerk of the target is compensated, at last the algorithm coherently integrates the target's energy by Fourier transform (FT). Compared with the GKTGDP[12] algorithm, the proposed method only needs one-dimensional search for acceleration and jerk. Compared with the KT-CPF [14] algorithm, there is no limitation on search range of Doppler fold factor in this proposed method.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116488861","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}
引用次数: 0
Azimuth Enhancement for Automotive SAR Imaging 汽车SAR成像的方位角增强
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557344
S. Gishkori, B. Mulgrew
{"title":"Azimuth Enhancement for Automotive SAR Imaging","authors":"S. Gishkori, B. Mulgrew","doi":"10.1109/RADAR.2018.8557344","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557344","url":null,"abstract":"In this paper, we present signal processing methods for automotive radar imaging. Our focus is to enhance angular resolution of the radar image. We consider frequency modulated continuous wave signalling. We propose a forward scanning synthetic aperture radar methodology, which combines scene scanning and synthetic aperture processing. To take full advantage of this methodology, we propose two algorithms: i) a modified back projection algorithm, which capitalises on the target information available in range domain as well as in the azimuth domain, and ii) an algorithm based on state-of-the-art technique of compressed sensing, which preserves features of the target objects as well as parsimony of the target scene. Simulation results verify our proposed methodology.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122594683","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}
引用次数: 6
A Novel Scatterer Trajectory Association Method Based on Markov Chain Monte Carlo Algorithm 一种基于马尔可夫链蒙特卡罗算法的散射体轨迹关联新方法
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557273
Lei Liu, Feng Zhou
{"title":"A Novel Scatterer Trajectory Association Method Based on Markov Chain Monte Carlo Algorithm","authors":"Lei Liu, Feng Zhou","doi":"10.1109/RADAR.2018.8557273","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557273","url":null,"abstract":"Precise scatterer trajectory association is the basis of three-dimensional (3D) reconstruction utilizing sequential inverse synthetic aperture radar (ISAR) images. To address the occlusion and trajectory crossing of different scatterers, we propose a novel scatterer trajectory association method based on Markov chain Monte Carlo (MCMC) algorithm. Firstly, we derive the ellipse movement characteristics of each scatterer trajectory under stationary rotation motion model of the observed target. Then, we present a Bayesian model and inference algorithm for the scatterer trajectory association problem. MCMC is applied to estimate the scatterer trajectory matrix. Particularly, we design new prior and likelihood evaluation criteria in MCMC by making use of the elliptical movement characteristics of each scatterer trajectory. Simulation results on simulated data validate the effectiveness of the proposed method.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126697660","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}
引用次数: 1
Simple Analytic Approximation for Non-Coherent Radar Detection with Partially Correlated Target RCS and Compound Sea Clutter 部分相关目标RCS和复合海杂波非相干雷达探测的简单解析逼近
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557328
J. Zuk
{"title":"Simple Analytic Approximation for Non-Coherent Radar Detection with Partially Correlated Target RCS and Compound Sea Clutter","authors":"J. Zuk","doi":"10.1109/RADAR.2018.8557328","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557328","url":null,"abstract":"We revisit the problem of non-coherent pulse integration in the presence of partially correlated target radar cross-section and clutter, recasting the formulae of Kanter and Weiner to forms that are more transparent and numerically stable. Generalization to compound sea clutter is considered, and an analytic approximation that can cater for a large number of integrated pulses is derived which is simple, explicit and computationally efficient, making it suitable for use in operational simulations of airborne maritime surveillance.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126974875","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}
引用次数: 3
Optimised Wiener Filtering in Overdetermined Systems 超定系统中的优化维纳滤波
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557253
J. Sendall, W. D. du Plessis
{"title":"Optimised Wiener Filtering in Overdetermined Systems","authors":"J. Sendall, W. D. du Plessis","doi":"10.1109/RADAR.2018.8557253","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557253","url":null,"abstract":"The Wiener filter is prevalent in many adaptive filtering applications, but can also be a computationally burdensome part of a signal processing chain. This paper presents methods to reduce the computational complexity and memory footprint of Wiener filters where the filter is highly overdetermined. The optimisations are demonstrated in the context of passive radar and result in a reduction of over 40 times in processing time.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130780821","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}
引用次数: 1
Exploration of Multidimensional Radio Frequency Imaging to Derive Remote Intelligence of Building Interiors 多维射频成像技术在建筑内部远程智能应用中的探索
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557263
A. Horne, A. Blake, Anthony Lawson Qinetiq, Claire Stevenson, M. Nottingham, D. Muff, D. Blacknell
{"title":"Exploration of Multidimensional Radio Frequency Imaging to Derive Remote Intelligence of Building Interiors","authors":"A. Horne, A. Blake, Anthony Lawson Qinetiq, Claire Stevenson, M. Nottingham, D. Muff, D. Blacknell","doi":"10.1109/RADAR.2018.8557263","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557263","url":null,"abstract":"The Remote Intelligence of Building Interiors poses a number of serious challenges to a radio frequency imaging system. The complex nature of the building environment alongside the requirement to attain a sufficient amount of energy on the target necessitates massive measurement diversity to provide useful intelligence. QinetiQ is currently undertaking a research and demonstration project under UK MoD's Chief Scientific Advisor funding that aims to develop and exploit active and passive RF imaging of building interiors as a widely applicable intelligence tool. The objectives of the project are to derive an understanding of RF interactions with the building environment and objects and activities of intelligence interest; develop active and passive imaging techniques exploiting that understanding; evaluate potential intelligence concepts and capabilities; and mature system technology and processing techniques, facilitating rapid development and transition into service. These objectives are being addressed through the development of an experimental sensing and processing system comprising a miniature, coherent, active/passive sensor based on commercial off-the-shelf (COTS) technologies; the use of 20kg class unmanned multi-rotor aircraft as a low-cost sensor platform; the deployment of multiple sensor platforms in a distributed, coherent aperture; and the use of advanced synthetic aperture processing techniques to derive high resolution, multidimensional image products. This paper will provide a general review of these activities and the principles behind them.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131999741","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}
引用次数: 1
Passive SAR Satellite System (PASSAT): Ground Trials 被动SAR卫星系统(PASSAT):地面试验
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557267
G. Atkinson, Alp Sayin, M. Cherniakov, M. Antoniou, A. Stove, C. Underwood
{"title":"Passive SAR Satellite System (PASSAT): Ground Trials","authors":"G. Atkinson, Alp Sayin, M. Cherniakov, M. Antoniou, A. Stove, C. Underwood","doi":"10.1109/RADAR.2018.8557267","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557267","url":null,"abstract":"This paper presents progress made on the investigation of a passive Synthetic Aperture Radar (SAR) using digital terrestrial television broadcasting stations (DVB- T) as illuminators of opportunity, and micro-/nano-satellite receivers on Low Earth Orbit (LEO). The paper presents initial calculations on satellite payload requirements, describes the development of a passive SAR demonstrator to explore potential PASSAT image features, and describes an experimental campaign with a ground-moving vehicle to verify its functionality. The obtained SAR images are presented and discussed.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115437280","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}
引用次数: 5
Marine Target Localization with Passive GNSS-Based Multistatic Radar: Experimental Results 基于被动gnss的多基地雷达舰船目标定位实验研究
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557331
M. Antoniou, A. Stove, D. Tzagkas, M. Cherniakov, H. Ma
{"title":"Marine Target Localization with Passive GNSS-Based Multistatic Radar: Experimental Results","authors":"M. Antoniou, A. Stove, D. Tzagkas, M. Cherniakov, H. Ma","doi":"10.1109/RADAR.2018.8557331","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557331","url":null,"abstract":"This paper considers passive multistatic radar with Global Navigation Satellite System (GNSS) transmissions (such as GPS and Galileo) for target localization. The paper briefly describes the appropriate signal processing algorithm, which is essentially a multi-lateration technique. However, particular emphasis is given on the experimental confirmation of the system, obtained through a proof-of-concept experimental campaign where a marine target was simultaneously detected by 11 transmitters and a single receiver.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124478638","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}
引用次数: 5
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