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2020 IEEE International Radar Conference (RADAR)最新文献

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On the Measurement of Range and its Time-Derivatives in LFMCW Radar LFMCW雷达距离及其时间导数的测量
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114539
P. Asuzu
{"title":"On the Measurement of Range and its Time-Derivatives in LFMCW Radar","authors":"P. Asuzu","doi":"10.1109/RADAR42522.2020.9114539","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114539","url":null,"abstract":"This paper examines the simultaneous measurement of range and its time-derivatives in Linear Frequency Modulated Continuous Wave (LFMCW) radar. A signal model is developed to highlight the influence of velocity modulations on estimating higher range derivatives. Experimental results demonstrate the validity of the signal model and the merits of simultaneously estimating range and its derivatives such as acceleration and jerk.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125240680","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
Mismatch Filter Design Using Linear Programming 用线性规划设计失配滤波器
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114724
P. Kajenski, Adria L. Kajenski
{"title":"Mismatch Filter Design Using Linear Programming","authors":"P. Kajenski, Adria L. Kajenski","doi":"10.1109/RADAR42522.2020.9114724","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114724","url":null,"abstract":"Mismatch filters are generally used to reduce the range sidelobes when phase coded waveforms are used. It is shown that such mismatch filters can be designed with linear programming techniques. This particular formulation allows a trade between the degree of sidelobe suppression and the loss to the main peak sensitivity.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123028858","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
Configuration-Dependent Characteristics of Virtual-Mode Quantum Sensing Systems 虚拟模式量子传感系统的构型依赖特性
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114856
M. Lanzagorta, J. Uhlmann
{"title":"Configuration-Dependent Characteristics of Virtual-Mode Quantum Sensing Systems","authors":"M. Lanzagorta, J. Uhlmann","doi":"10.1109/RADAR42522.2020.9114856","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114856","url":null,"abstract":"Previous works have examined the use of a distributed network of quantum illumination and sensing nodes to augment the available number of distinguishable modes with an additional set of virtual modes. It has been shown that this approach in theory can be applied to achieve a required level of target detection performance within the constraints imposed by the limited rate at which entangled microwave photons can be generated. In this paper we examine how this performance is impacted by the spatial geometry of the network of nodes with respect to the target's range and cross section.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127787679","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
A Novel, Graphical Representation of the Classical Radar Range Equation 经典雷达距离方程的一种新的图形表示
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114689
P. Rose, A. Robinson, T. Kinghorn
{"title":"A Novel, Graphical Representation of the Classical Radar Range Equation","authors":"P. Rose, A. Robinson, T. Kinghorn","doi":"10.1109/RADAR42522.2020.9114689","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114689","url":null,"abstract":"The classical radar range equation has been around since the beginning of radar. While there are various forms of the equation for different radar types, it has not commonly been expressed in a graphical form until now. Leonardo has developed a novel means of expressing the equation in a form that provides insight into radar performance, particularly with regard to detection of targets with non-uniform radar signatures. In essence, the graphical format splits the contribution to detection into components for the radar parameters and those for the target; both components are scaled precisely in range.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134103448","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
UAV Micro-Doppler Signature Analysis Using DVB-S Based Passive Radar 基于DVB-S无源雷达的无人机微多普勒特征分析
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114747
M. Ummenhofer, Louis Cesbron Lavau, D. Cristallini, D. O’Hagan
{"title":"UAV Micro-Doppler Signature Analysis Using DVB-S Based Passive Radar","authors":"M. Ummenhofer, Louis Cesbron Lavau, D. Cristallini, D. O’Hagan","doi":"10.1109/RADAR42522.2020.9114747","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114747","url":null,"abstract":"Drones and unmanned aerial vehicles (UAVs) are increasingly popular, thus posing danger and threats to infrastructures and public safety. A technology for drone detection and classification would therefore significantly increase the level of security. In scenarios such as concerts, sport events, trade fairs, or in any situation where significant aggregation of people is present, such techniques should be non-invasive. That means they do not have to pose an additional threat to people themselves. To this end, passive radars offer an appealing solution, since they are able to offer a non-cooperative surveillance while not emitting any electromagnetic signal. On the contrary, they rely on existing transmitting infrastructure (also referred to as illuminators of opportunity, IoO), such as broadcasting signal sources (FM radio, terrestrial and satellite digital video broadcasting, cellular communication and so on). In this work, the possibility to exploit satellite television based passive radar for UAV detection is analyzed by experimental validation. In addition, micro-Doppler signatures for drones have been extracted, which might give information for subsequent UAV classification.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114316127","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
Micro-Doppler Signatures of Dynamic Humans From Around The Corner Radar 来自转角雷达的动态人体的微多普勒特征
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114675
S. Vishwakarma, Aaquib Rafiq, S. S. Ram
{"title":"Micro-Doppler Signatures of Dynamic Humans From Around The Corner Radar","authors":"S. Vishwakarma, Aaquib Rafiq, S. S. Ram","doi":"10.1109/RADAR42522.2020.9114675","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114675","url":null,"abstract":"Recent studies have demonstrated the possibility of sensing dynamic targets around the corners with no direct signal in line-of-sight with respect to the radar. These works have mostly focused on the detection of targets around the corner on the basis of multipath scattering from lateral walls. However, strong specular multipath returns are only obtained for highly conductive walls or at high carrier frequencies. There is minimal research effort into using the existing indoor radar hardware at much lower carrier frequencies for around the corner sensing of targets. In this paper, we have performed a detailed experimental analysis, including both simulations and measurements, of the effect of wall parameters and carrier frequency on the around the corner micro-Doppler signatures of dynamic humans. Our results demonstrate that in real world scenarios where walls are lossy, target micro-Dopplers are weak and distorted by multipath scattering at high carrier frequencies and are sensed only very near the radar. At lower carrier frequencies, the targets are sensed at greater distances and the micro-Dopplers are not significantly distorted by multipath since the signals mostly travel along the direct path through the wall.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114751120","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
Chaff Discrimination Using Convolutional Neural Networks and Range Profile Data 基于卷积神经网络和距离剖面数据的箔条识别
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114645
Utku Kaydok
{"title":"Chaff Discrimination Using Convolutional Neural Networks and Range Profile Data","authors":"Utku Kaydok","doi":"10.1109/RADAR42522.2020.9114645","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114645","url":null,"abstract":"In this paper a method for chaff and ship discrimination is discussed. The method uses one dimensional range profile data for the input of the convolutional neural network (CNN). The classification results for the CNN running on MATLAB and using Levenberg-Marquardt algorithm are presented for a database composed of 3 types of ship and one type of chaff. This input database is corrupted with different levels of sea clutter in order to conclude on the performance of the CNN in different SCR conditions. The same CNN is also built using Python with Tensorflow backend. The CNN is tested for the database corrupted with sea clutter having a Gaussian spectral function on Python. Classification rates starting from %87 for low SCR (5 dB) up to %99 for high SCR (20 dB) are obtained for the ship and chaff database which are corrupted with sea clutter.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116083225","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
Minimum Entropy Autofocus Correction of Range-Varying Phase Errors in ISAR Imagery ISAR图像中距离变化相位误差的最小熵自动聚焦校正
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114769
J. Kantor
{"title":"Minimum Entropy Autofocus Correction of Range-Varying Phase Errors in ISAR Imagery","authors":"J. Kantor","doi":"10.1109/RADAR42522.2020.9114769","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114769","url":null,"abstract":"In this article, we present an ISAR autofocus algorithm that compensates for range-varying phase errors which can degrade ISAR imagery formed with an unknown rotation rate. Our algorithm is non-parametric and is capable of dealing with a non-constant rotation rate. The algorithm described is based on optimizing image focus by minimizing the image entropy.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116251212","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
Waveform Recognition in Multipath Fading using Autoencoder and CNN with Fourier Synchrosqueezing Transform 基于自编码器和CNN的傅立叶同步压缩变换的多径衰落波形识别
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114783
G. Kong, Minchae Jung, V. Koivunen
{"title":"Waveform Recognition in Multipath Fading using Autoencoder and CNN with Fourier Synchrosqueezing Transform","authors":"G. Kong, Minchae Jung, V. Koivunen","doi":"10.1109/RADAR42522.2020.9114783","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114783","url":null,"abstract":"In this paper the problem of recognizing radar waveforms is addressed for multipath fading channels. Waveform classification is needed in spectrum sharing, radar-communications coexistence, cognitive radars, spectrum monitoring and signal intelligence. Different radar waveforms exhibit different properties in time-frequency domain. We propose a deep learning method for waveform classification. The received signal is first equalized to mitigate the effect of multipath fading channels by using a denoising auto-encoder (DAE). Then, the equalized signal is processed with Fourier synchrosqueezing transform that has excellent properties in revealing time-varying behavior, rate of, strength and number of oscillatory components in signals. The resulting time-frequency description is represented as a bivariate image that is fed into a convolutional neural network. The proposed method has superior performance over the widely used the Choi-Williams distribution (CWD) method in distinguishing among different radar waveforms even at low signal-to-noise ratio regime.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123494339","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: 9
Doppler Signature Analysis of Mixed O/X-Mode Signals in Over-The-Horizon Radar 超视距雷达O/ x模混合信号的多普勒特征分析
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114582
Ammar Ahmed, Yimin D. Zhang, B. Himed
{"title":"Doppler Signature Analysis of Mixed O/X-Mode Signals in Over-The-Horizon Radar","authors":"Ammar Ahmed, Yimin D. Zhang, B. Himed","doi":"10.1109/RADAR42522.2020.9114582","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114582","url":null,"abstract":"We analyze the Doppler signatures of local multi-path signals in an over-the-horizon radar in the presence of both ordinary (O) and extraordinary (X) polarization modes. As the ionospheric signal reflection for the two polarization modes varies from each other, the existing local multipath model developed for a single polarization mode must be extended to account for such a propagation environment. In this paper, we focus on the case with small delays between the signals corresponding to the two propagation modes. We exploit the multipath signal model considering the mixed O/X mode signals and analyze the variation in the resulting Doppler signatures. The analytical as well as numerical results show that the existence of both O/X polarization modes renders more signal components with close Doppler signatures. In the underlying situation with small delays between the two modes, the mixed O/X-mode signals corresponding to each local multipath signal component are unresolvable and yield time-varying fading magnitude. Accurate parameter estimation is still achieved using fractional Fourier transform over a longer coherent processing time.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124907799","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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