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2018 IEEE Radar Conference (RadarConf18)最新文献

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Effects of time alignment errors in coherent distributed radar 相干分布式雷达中时间对准误差的影响
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-06-08 DOI: 10.1109/RADAR.2018.8378649
Pratik Chatterjee, J. Nanzer
{"title":"Effects of time alignment errors in coherent distributed radar","authors":"Pratik Chatterjee, J. Nanzer","doi":"10.1109/RADAR.2018.8378649","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378649","url":null,"abstract":"Coherent distributed operation between multiple radar systems requires wireless coordination to align the phases and clocks of each node in the distributed array. In this paper, we analyze the effects of time alignment error in distributed radar for three general radar waveforms: continuous-wave pulse, phase-coded, and linear frequency modulated waveforms. The relative matched filter gain as a function of timing error is analyzed through Monte Carlo simulation for arrays of up to 20 nodes. To achieve 90% of the ideal coherent gain with a probability of 0.9, the standard deviation of the timing error between nodes must be ≤ 10% of the pulse width for the continuous-wave pulse, ≤ 3% for a 3-element Barker phase code, ≤ 1.5% for a 7-element Barker phase code, ≤ 0.5% for a 13-element Barker phase code, and ≤ 2% for a linear-frequency modulated pulse with a modulation rate of 5% of the carrier frequency.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"67 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":"128735206","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: 13
Interference protection criteria simulation 干扰保护准则模拟
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-04-24 DOI: 10.1109/RADAR.2018.8378605
R. Achatz
{"title":"Interference protection criteria simulation","authors":"R. Achatz","doi":"10.1109/RADAR.2018.8378605","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378605","url":null,"abstract":"Interference protection criteria (IPC) determine the interfering signal power a system can tolerate when sharing spectrum with other services. IPC are typically determined by measurements, but good measurements are often hindered by restrictions on equipment availability and inaccessible equipment signals, performance metrics, and operational parameters. The purpose of the research described in this article is to determine if these difficulties can be avoided by replacing IPC measurements with software simulations. Our approach is to use commercial off-the-shelf (COTS) radio system simulator software to model previous IPC measurement test fixtures and compare simulated to measured results. Measurements of mutual interference between radar and LTE systems are compared. The comparison shows that simulation can be a viable alternative to IPC measurement.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124178428","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
Advances and applications in low-power phased array X-band weather radars 低功率相控阵x波段气象雷达的进展与应用
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-04-23 DOI: 10.1109/RADAR.2018.8378762
P. Kollias, D. McLaughlin, S. Frasier, M. Oue, E. Luke, A. Sneddon
{"title":"Advances and applications in low-power phased array X-band weather radars","authors":"P. Kollias, D. McLaughlin, S. Frasier, M. Oue, E. Luke, A. Sneddon","doi":"10.1109/RADAR.2018.8378762","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378762","url":null,"abstract":"Low-cost, low-power X-band phased array radar (LPAR) is an enabling technology for future deployment of distributed short-range radar networks. Such networks offer the potential for superior and lower altitude surveillance of atmospheric and airborne events compared with today's larger, long range national radar networks. Two dimensionally steered (phase-phase steering, without motors or other moving parts) phased array radars are complex systems comprising multiple subsystems including several thousand transmit/receive (T/R) channels, beam steering computers, thermal management. Owing to this complexity and the associated cost, phased array technology has not historically been used in weather and air traffic control radars. Competition for the frequency spectrum traditionally reserved for long-range radars is motivating the search for new approaches to national air surveillance; this has motivated R&D investment in two-dimensional X-band LPAR over the past decade, to the point where prototype systems are now emerging in several application settings including, for the first time, the university research setting. Two-dimensional high-speed (inertia-less) beam steering combined with dual polarization, programmable/adaptive waveforms, and the ability to combine multiple radars into networks is leading to new atmospheric science research opportunities related to hazardous storm forecasting and response, understanding cloud physics, water resource management, monitoring the movement and dispersal of hazardous plumes, and other areas.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125895070","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
Development of planar active phased array antenna for detecting and tracking radar 探测跟踪雷达用平面有源相控阵天线的研制
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-04-23 DOI: 10.1109/radar.2018.8378538
Ki-ho Kim, Hyun Kim, Dong-Yoon Kim, Sang-Keun Kim, Sang‐Hyun Chun, Sung-Jin Park, Sung-Moon Jang, Min-Kil Chong, Hyung-Seok Jin
{"title":"Development of planar active phased array antenna for detecting and tracking radar","authors":"Ki-ho Kim, Hyun Kim, Dong-Yoon Kim, Sang-Keun Kim, Sang‐Hyun Chun, Sung-Jin Park, Sung-Moon Jang, Min-Kil Chong, Hyung-Seok Jin","doi":"10.1109/radar.2018.8378538","DOIUrl":"https://doi.org/10.1109/radar.2018.8378538","url":null,"abstract":"In this Paper, describes development of C-band Planar Active Phase Array antenna for Detecting and Tracking the target of small RCS. The antenna is designed with 14 sub-arrays (12 main and 2 side lobe blanking, about 3000 elements of transmit-receive unit) to properly synthesized transmit and receive pattern. Using a near-field measurements chamber, measured transmit pattern and Effective Isotropic Radiated Power (EIRP), also measured receive pattern and G/N. Receive pattern is implemented with Digital Beam Forming (DBF) by signal processing. The result of measurements shows a good agreement with Antenna design Specification.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122817828","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
Bio-inspired techniques for target localization 目标定位的仿生技术
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-04-23 DOI: 10.1109/RADAR.2018.8378740
Galen M. Reich, M. Antoniou, C. Baker
{"title":"Bio-inspired techniques for target localization","authors":"Galen M. Reich, M. Antoniou, C. Baker","doi":"10.1109/RADAR.2018.8378740","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378740","url":null,"abstract":"This paper develops proof-of-concept results using a frequency-diverse radar system to localize a single target in angle. The approach mimics natural echolocators and uses radar representations analogous to several well-known acoustic cues. By using a large radar bandwidth, significant variations in antenna beampatterns are used to extract information about the angle to a target across a wide angular extent. Here we show how implementation of phase-comparison monopulse for regions of low-frequency diversity improves the overall system performance over the purely frequency-diverse approach.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114396012","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
Diversified radar micro-Doppler simulations as training data for deep residual neural networks 多种雷达微多普勒仿真作为深度残差神经网络的训练数据
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-04-23 DOI: 10.1109/RADAR.2018.8378629
M. S. Seyfioglu, B. Erol, S. Gurbuz, M. Amin
{"title":"Diversified radar micro-Doppler simulations as training data for deep residual neural networks","authors":"M. S. Seyfioglu, B. Erol, S. Gurbuz, M. Amin","doi":"10.1109/RADAR.2018.8378629","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378629","url":null,"abstract":"A key challenge in radar micro-Doppler classification is the difficulty in obtaining a large amount of training data due to costs in time and human resources. Small training datasets limit the depth of deep neural networks (DNNs), and, hence, attainable classification accuracy. In this work, a novel method for diversifying Kinect-based motion capture (MOCAP) simulations of human micro-Doppler to span a wider range of potential observations, e.g. speed, body size, and style, is proposed. By applying three transformations, a small set of MOCAP measurements is expanded to generate a large training dataset for network initialization of a 30-layer deep residual neural network. Results show that the proposed training methodology and residual DNN yield improved bottleneck feature performance and the highest overall classification accuracy among other DNN architectures, including transfer learning from the 1.5 million sample ImageNet database.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"434 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116014358","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: 21
Improved main-lobe cancellation method for space spread clutter suppression in HFSSWR 基于改进主瓣对消方法的hfssw空间扩频杂波抑制
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-04-23 DOI: 10.1109/RADAR.2018.8378556
Jiazhi Zhang, Weibo Deng, Xin Zhang, Qiang Yang
{"title":"Improved main-lobe cancellation method for space spread clutter suppression in HFSSWR","authors":"Jiazhi Zhang, Weibo Deng, Xin Zhang, Qiang Yang","doi":"10.1109/RADAR.2018.8378556","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378556","url":null,"abstract":"In HF hybrid sky-surface wave radar (HFSSWR), the performance of detecting low velocity target will be greatly affected by space spread clutter (SSC), such as the broadening first-order sea clutter and the ionospheric clutter. Main-lobe cancellation is a powerful method for SSC suppression which using the strong spatial correlation to obtain a target-free training data. But due to the non-stationary properties of ionosphere, the clutter statistics change significantly among training data. In order to get training data which contains precise clutter information, an improved main-lobe cancellation (IMLC) method based on single notch space filter and correlation analysis is proposed. Firstly, a main-lobe clutter canceller based on single notch space filter has been developed to block the target component. Then, an optimized correlation analysis strategy (OCA) is presented to choose the efficient training data. Finally, the method is examined by measured data and the results indicate the method has a good performance for SSC suppression than traditional method.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129902046","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
Sparse signal separation methods for target detection in sea-clutter 海杂波中目标检测的稀疏信号分离方法
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-04-23 DOI: 10.1109/RADAR.2018.8378540
L. Rosenberg, B. Ng
{"title":"Sparse signal separation methods for target detection in sea-clutter","authors":"L. Rosenberg, B. Ng","doi":"10.1109/RADAR.2018.8378540","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378540","url":null,"abstract":"This paper investigates two methods of sparse signal separation known as morphological component analysis and basis pursuit denoising. These techniques have both been demonstrated as effective in separating targets from sea-clutter, but rely on the tuning of different parameters. In the first part of this paper, we study the variation of the regularisation or penalty parameter and propose a value which achieves good separation. Then we present a detection scheme which relates the probability of false alarm to the choice of penalty parameter. The performance of this detection scheme is then demonstrated with Monte-Carlo simulation using the Ingara medium grazing angle sea-clutter data set.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123298435","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
Adaptive RF interference canceller in high dynamic range Doppler radar for landmine detection 高动态范围多普勒地雷探测雷达自适应射频干扰消除器
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-04-23 DOI: 10.1109/RADAR.2018.8378668
Yu Zhang, D. Orfeo, J. Keranen, D. Huston, Tian Xia
{"title":"Adaptive RF interference canceller in high dynamic range Doppler radar for landmine detection","authors":"Yu Zhang, D. Orfeo, J. Keranen, D. Huston, Tian Xia","doi":"10.1109/RADAR.2018.8378668","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378668","url":null,"abstract":"Doppler radar detects a target's movement by characterizing the frequency variations of the reflection RF signal. In this paper, Doppler radar is utilized for detecting landmines through vibration sensing. By checking the Doppler frequency of reflection signal resulting from the landmine's response to the vibration stimulus, the buried landmine can be detected. In this operation, large RF interferences in the system may diminish the dynamic range of Doppler radar and degrade its sensing performance. An adaptive RF interference canceller is designed to enhance the reflection signal from the landmine and increase the dynamic range of Doppler radar by more than 20 dB. For performance validation, experiments on detecting a landmine stimulated by a vibration source are conducted.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"195 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114059105","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
On the impact of fast-time and slow-time preprocessing operations on adaptive target detectors 快速和慢时间预处理操作对自适应目标检测器的影响
2018 IEEE Radar Conference (RadarConf18) Pub Date : 2018-04-23 DOI: 10.1109/RADAR.2018.8378730
G. M. Güvensen, Ç. Candan
{"title":"On the impact of fast-time and slow-time preprocessing operations on adaptive target detectors","authors":"G. M. Güvensen, Ç. Candan","doi":"10.1109/RADAR.2018.8378730","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378730","url":null,"abstract":"Conventional adaptive detectors assume independent and identically distributed (iid) secondary data vectors which is not contaminated with the target signal. Yet, the input to the adaptive detectors are produced by preprocessing the raw data in fast-time and slow-time dimensions, in general. This paper mainly aims to study the impact of fast-time matched filtering on the adaptive target detectors, namely Kelly's detector, adaptive matched filter (AMF) and adaptive coherence estimator (ACE). It is shown that the application of matched filtering prior to the adaptive detection violates the requirements of conventional adaptive detectors unless the range side-lobes of the radar pulse is zero at all lags. An alternative preprocessing method, based on an unitary transformation mapping, is suggested and it is shown the alternative approach exactly satisfies the requirements. Numerical comparisons are provided to examine the performance gain of the suggested approach in comparison with the conventional one, i.e. fast-time matched filtering.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114713759","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
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