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2018 IEEE Radar Conference (RadarConf18)最新文献

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Cognitive Adaptive Array Processing (CAAP) — its time has come 认知自适应阵列处理(CAAP)——它的时代已经到来
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557333
E. Brookner
{"title":"Cognitive Adaptive Array Processing (CAAP) — its time has come","authors":"E. Brookner","doi":"10.1109/RADAR.2018.8557333","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557333","url":null,"abstract":"Cognitive Adaptive Array Processing (CAAP) is adaptive array jammer cancellation which makes use of information gathered about the jammer. With CAAP the jammer cancellation can be done with dramatically less processing, with orders of magnitude fewer training samples and with less degradation of the antenna sidelobes. With digital beam forming (DBF) now being more widely used CAAP becomes more feasible to implement. Its time has come. It should be looked at. The results are presented in tutorial form without heavy math. Instead physical explanations are given for these results. The CAAP technique makes use of the information available as to where the jammers are rather than assuming there location is not known as done for the classical sample matrix inversion (SMI) method. This is reminiscent of the Knowledge Aided-STAP (KA-STAP) technique used by DARPA. In many cases no interference covariance matrix inversion is needed and when needed the matrix size is reduced by orders of magnitude and in turn the computation of its matrix inverse. This method reduces the 10 to 30 dB antenna sidelobe degradation usually resulting from using the SMI method. The advantages re the use of diagonal loading (DL) and the principal component (PC) techniques are also addressed. The CAAP technique lends itself well to conventional and MIMO array systems when digital beam forming is used which is the future trend.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"28 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":"128846571","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: 2
Landmine internal structure detection from ground penetrating radar images 基于探地雷达图像的地雷内部结构探测
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-06-11 DOI: 10.1109/RADAR.2018.8378733
F. Lombardi, H. Griffiths, A. Balleri
{"title":"Landmine internal structure detection from ground penetrating radar images","authors":"F. Lombardi, H. Griffiths, A. Balleri","doi":"10.1109/RADAR.2018.8378733","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378733","url":null,"abstract":"Reliable landmine detection is still an unresolved problem. Demining operations are complex activities because of the large variety of existing landmine types, many different possible soil and terrain conditions, and environmental circumstances. Due to its ability of detecting both metallic and non-metallic objects, ground penetrating radar (GPR) is a promising method for detecting landmines that may allow faster and safer operations. As the performance of GPR is mainly governed by the target signature, the potential of discriminating target based on the presence of internal reflections could be a valuable advantage for identification and recognition process. This study demonstrates that from a set of high resolution GPR slices the internal design of the landmine can be properly imaged and characterised, confirming the applicability of the methodology and the validity of such an approach.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127638245","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
Experimental demonstration of cognitive spectrum sensing & notching for radar 雷达认知频谱感知与陷波的实验演示
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-06-08 DOI: 10.1109/RADAR.2018.8378690
Jonathan Owen, Brandon Ravenscroft, B. Kirk, S. Blunt, Chris Allen, A. Martone, K. Sherbondy, R. Narayanan
{"title":"Experimental demonstration of cognitive spectrum sensing & notching for radar","authors":"Jonathan Owen, Brandon Ravenscroft, B. Kirk, S. Blunt, Chris Allen, A. Martone, K. Sherbondy, R. Narayanan","doi":"10.1109/RADAR.2018.8378690","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378690","url":null,"abstract":"A cognitive radar concept is demonstrated that incorporates spectrum sensing and subsequent waveform notching to avoid in-band interference. The interference is assumed to be caused by in-band orthogonal frequency division multiplexed (OFDM) communications in the vicinity of the radar while the notched radar waveform leverages a recently developed frequency modulated (FM) noise signal structure. To emulate real-time performance, the interference signal is measured as it hops in frequency and a fast spectrum sensing algorithm is applied to assess where notches are required. Knowledge of the determined notch location is then passed to the waveform optimization process. The interference and free-space radar measurements are synthetically combined to assess the impact of the interference with and without notching and to quantify the impact of latency.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127824326","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: 16
A high frame rate, 340 GHz 3D imaging radar for security 一个高帧率，340 GHz的3D成像雷达，用于安全
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-06-08 DOI: 10.1109/RADAR.2018.8378530
D. Robertson, D. Macfarlane, R. Hunter, S. Cassidy, N. Llombart, E. Gandini, T. Bryllert, M. Ferndahl, H. Lindström, J. Tenhunen, H. Vasama, J. Huopana, Timo Selkälä, Antti-Jussi Vuotikka
{"title":"A high frame rate, 340 GHz 3D imaging radar for security","authors":"D. Robertson, D. Macfarlane, R. Hunter, S. Cassidy, N. Llombart, E. Gandini, T. Bryllert, M. Ferndahl, H. Lindström, J. Tenhunen, H. Vasama, J. Huopana, Timo Selkälä, Antti-Jussi Vuotikka","doi":"10.1109/RADAR.2018.8378530","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378530","url":null,"abstract":"The need for improved security at airports with high detection performance, high throughput rates and an improved passenger experience is motivating research into new sensing technologies. The European Union funded CONSORTIS project is addressing these aims by demonstrating a system which combines a submillimeter wave radar, a dual-band passive submillimeter wave camera and automatic anomaly detection software for reliable detection while ensuring passenger privacy. In this paper we describe the 340 GHz 16-channel FMCW radar which produces 3D maps of the subject with ∼1 cm3 voxel resolution over a 1 m3 sense volume at multi-hertz frame rates. The radar combines advanced transceiver electronics with high speed mechanical beam steering and parallelized processing to achieve this level of performance.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115227088","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: 15
Let's share CommRad: Co-existing communications and radar systems 让我们共享共存的通信和雷达系统
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-06-08 DOI: 10.1109/RADAR.2018.8378747
Narueporn Nartasilpa, S. Shahi, A. Salim, Daniela Tuninetti, N. Devroye, D. Erricolo, D. Zilz, M. Bell
{"title":"Let's share CommRad: Co-existing communications and radar systems","authors":"Narueporn Nartasilpa, S. Shahi, A. Salim, Daniela Tuninetti, N. Devroye, D. Erricolo, D. Zilz, M. Bell","doi":"10.1109/RADAR.2018.8378747","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378747","url":null,"abstract":"Spectrum sharing between radar and communications systems, as a means to address spectrum crunch, is an active research area. This paper considers Complex-valued Additive White Gaussian Noise (C-AWGN) communication systems co-existing with pulsed radar systems, and characterizes performance from two angles: 1) the effect of radar interference on a communications system is examined in terms of average error rate, constellation design, and Shannon capacity, and 2) the effect of communications interference on a radar system is examined in terms of the Receiver Operating Characteristic (ROC).","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128533579","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: 11
Spectrum management and advanced receiver techniques (SMART): Joint radar-communications network performance 频谱管理和先进接收机技术(SMART):联合雷达-通信网络性能
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-06-08 DOI: 10.1109/RADAR.2018.8378711
A. Herschfelt, D. Bliss
{"title":"Spectrum management and advanced receiver techniques (SMART): Joint radar-communications network performance","authors":"A. Herschfelt, D. Bliss","doi":"10.1109/RADAR.2018.8378711","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378711","url":null,"abstract":"Limited spectral access motivates radar and communications technologies that can cooperate effectively. We briefly discuss the recent advancements in the fields of joint radar-communications and RF convergence to motivate a discussion of joint radar-communications network topologies. We demonstrate that MIMO spatial diversity and multi-static sensing modalities can be leveraged by a radar subsystem to massively increase effective coverage area while simultaneously providing the standard communications performance improvement. We also demonstrate that certain topologies can support a massive increase in communications user density without adversely affecting radar performance.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122288096","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: 12
Harmonics-based multiple heartbeat detection at equal distance using UWB impulse radar 基于谐波的等距离多心跳检测，采用超宽带脉冲雷达
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-06-08 DOI: 10.1109/RADAR.2018.8378715
Yu Rong, D. Bliss
{"title":"Harmonics-based multiple heartbeat detection at equal distance using UWB impulse radar","authors":"Yu Rong, D. Bliss","doi":"10.1109/RADAR.2018.8378715","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378715","url":null,"abstract":"In this paper, we discuss and demonstrate the possibility of detecting multiple heartbeat of stationary subjects at equal distance away from a single input and single output UWB radar. To that end, we propose a novel concept to extract the heartbeat information from its harmonics to deal with the spurious peaks of respiration signal and intermodulations between respiration and heartbeat signals. We provide a numerical analysis to justify the proposed algorithm. We compare the ability of suppressing the interferencing harmonics between the proposed algorithm and other detection algorithms. Finally, we provide an experimental example and show that accurate heart rates detection from two subjects at equal distance can be achieved using the proposed method by comparing against two types of references: camera based system and chest heart rate sensor.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"9 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127033629","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: 20
A broadband (10–20 GHz) lightweight receive module on multilayer LCP technology for radar applications 基于多层LCP技术的宽带(10 - 20ghz)轻型接收模块，用于雷达应用
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-06-08 DOI: 10.1109/RADAR.2018.8378545
M. Craton, Vincens Gjokaj, Christopher Oakley, Brian Wright, J. Albrecht, P. Chahal, J. Papapolymerou
{"title":"A broadband (10–20 GHz) lightweight receive module on multilayer LCP technology for radar applications","authors":"M. Craton, Vincens Gjokaj, Christopher Oakley, Brian Wright, J. Albrecht, P. Chahal, J. Papapolymerou","doi":"10.1109/RADAR.2018.8378545","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378545","url":null,"abstract":"A broad-band single substrate module receiver is built on multi-layer flexible substrate. The module consists of a Vivaldi antenna array, power combiner, and multilayer filter. The measured antenna array (2 × 1) shows high gain over a wide frequency range. The filter is designed for bandpass characteristics over a 0.75 GHz bandwidth. Low-cost, light-weight compact modules can be designed using the proposed process using multilayer LCP.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128642207","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
Architectures for cooperative radar-communications: Average vs. generalized likelihood ratio tests 协同雷达通信架构:平均与广义似然比测试
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-06-08 DOI: 10.1109/RADAR.2018.8378803
C. Richmond, Prabahan Basu
{"title":"Architectures for cooperative radar-communications: Average vs. generalized likelihood ratio tests","authors":"C. Richmond, Prabahan Basu","doi":"10.1109/RADAR.2018.8378803","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378803","url":null,"abstract":"A radar receiver cooperating with a communication system to share spectrum is challenged by composite hypothesis testing that is compounded by the persistent presence of in-band communication signals. Two established approaches to composite hypothesis testing are explored within the cooperative radar-communication context: (i) Bayesian integration (leading to the average likelihood ratio test (ALRT)), and (ii) the generalized likelihood ratio test (GLRT). The receiver operating characteristic (ROC) performance and practicality of the receive architectures implied by the ALRT and GLRT are examined.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125050039","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
Radar tools for spectrum assessment and prediction 用于频谱评估和预测的雷达工具
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-06-08 DOI: 10.1109/RADAR.2018.8378635
A. Martone, K. Sherbondy, K. Gallagher, J. Kovarskiy, R. Narayanan
{"title":"Radar tools for spectrum assessment and prediction","authors":"A. Martone, K. Sherbondy, K. Gallagher, J. Kovarskiy, R. Narayanan","doi":"10.1109/RADAR.2018.8378635","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378635","url":null,"abstract":"In this paper we introduce an assessment and prediction technique for radar spectrum access in a dynamic electromagnetic environment. The proposed technique expands upon the existing spectrum sensing, multi-objective optimization (SSMO) framework for the joint optimization of the radar's signal to interference plus noise ratio (SINR) and range resolution. The proposed framework gathers training information in one spatial sector while the radar operates in another sector. The training information is used to form statistical estimates of the SINR and radio-frequency (RF) emitter activity. The predictive SSMO (pSSMO) technique then uses the training information during radar operation to avoid collisions with other RF emitters. Synthetic and measured Global System for Mobile (GSM) communication waveform data are processed by the proposed technique and the results indicate similar performance between the simulated and measured dataset, thereby validating the results.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127538681","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: 4
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