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2020 IEEE International Radar Conference (RADAR)最新文献

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Transversal Velocity Measurement of Multiple Targets Based on Spatial Interferometric Averaging 基于空间干涉平均的多目标横向速度测量
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114597
Pengcheng Wang, Huaiyuan Liang, Xiangrong Wang, E. Aboutanios
{"title":"Transversal Velocity Measurement of Multiple Targets Based on Spatial Interferometric Averaging","authors":"Pengcheng Wang, Huaiyuan Liang, Xiangrong Wang, E. Aboutanios","doi":"10.1109/RADAR42522.2020.9114597","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114597","url":null,"abstract":"The linear velocity of an arbitrary moving target comprises two orthogonal components with reference to the observing radar, namely radial and transversal velocities. The transversal velocity can be measured by an interferometric radar directly. When measuring multiple targets, there exist cross-terms that have no physical meanings and interfere with the extraction of the useful frequency. In this paper, we propose a new method utilizing a uniform linear receiving array with three antennas based on spatial interferometric averaging to suppress the cross-terms and measure the transversal velocity of multiple targets simultaneously. The basic idea of spatial interferometric averaging is to use subarrays of a uniform linear array to obtain an averaged correlation output, the phase terms of which contain the pure transversal velocity. Simulation results are provided to validate the effectiveness of the proposed method.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"45 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":"123081545","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
Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals 真实FMCW雷达信号的深度干扰抑制与去噪
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114627
J. Rock, Máté Tóth, P. Meissner, F. Pernkopf
{"title":"Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals","authors":"J. Rock, Máté Tóth, P. Meissner, F. Pernkopf","doi":"10.1109/RADAR42522.2020.9114627","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114627","url":null,"abstract":"Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous cars. Key performance factors are a fine range resolution and the possibility to directly measure velocity. With a rising number of radar sensors and the so far unregulated automotive radar frequency band, mutual interference is inevitable and must be dealt with. Sensors must be capable of detecting, or even mitigating the harmful effects of interference, which include a decreased detection sensitivity. In this paper, we evaluate a Convolutional Neural Network (CNN)-based approach for interference mitigation on real-world radar measurements. We combine real measurements with simulated interference in order to create input-output data suitable for training the model. We analyze the performance to model complexity relation on simulated and measurement data, based on an extensive parameter search. Further, a finite sample size performance comparison shows the effectiveness of the model trained on either simulated or real data as well as for transfer learning. A comparative performance analysis with the state of the art emphasizes the potential of CNN-based models for interference mitigation and denoising of realworld measurements, also considering resource constraints of the hardware.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"34 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":"126483595","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: 24
Performance modelling of a cost effective COTS UHF Log-periodic antenna 一种具有成本效益的COTS UHF对数周期天线的性能建模
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114868
C. Blaauw, M. Potgieter, J. Cilliers
{"title":"Performance modelling of a cost effective COTS UHF Log-periodic antenna","authors":"C. Blaauw, M. Potgieter, J. Cilliers","doi":"10.1109/RADAR42522.2020.9114868","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114868","url":null,"abstract":"Commercial off the shelf antennas make it possible to perform rapid initial system tests and proof of concepts experiments. This paper reports on the antenna performance of a cost effective commercial off the shelf printed Log-periodic antenna supplied by Ettus Research. This antenna is specified to work in the UHF band with a bandwidth of 600 MHz (400 MHz to 1 GHz).","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"62 37","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120968847","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
Fast-Time Clutter Suppression in mm-Wave Low-IF FMCW Radar for Fast-Moving Objects 快速运动目标毫米波低中频FMCW雷达的快速杂波抑制
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114714
Chris Allen, L. Goodman, S. Blunt, D. Wikner
{"title":"Fast-Time Clutter Suppression in mm-Wave Low-IF FMCW Radar for Fast-Moving Objects","authors":"Chris Allen, L. Goodman, S. Blunt, D. Wikner","doi":"10.1109/RADAR42522.2020.9114714","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114714","url":null,"abstract":"A dual-DDS-based, mm-wave, heterodyne, FMCW radar with a 108-GHz center frequency, a 600-MHz bandwidth, and a 3-MHz IF was used to characterize backscatter from static clutter and a small, fast-moving target. Employing a symmetric triangular frequency-vs-time FMCW waveform with 500-us up-chirp and down-chirp durations, signals from a reusable paintball (reball) with a radial velocity of about 90 m/s were measured in an indoor, clutter-rich environment over intervals of ∼100-ms. Unambiguous estimation of the reball's range and radial velocity were derived from observations made during both the up-chirp and down-chirp observations. Specifically, when the reball's echo signal was obscured or degraded by coincident clutter (e.g. during down-chirp), estimates of its amplitude characteristics were obtained from measurements when the reball and clutter were spectrally separable (during up-chirp). Consequently, it is demonstrated that the clutter in this context can be suppressed by more than 25 dB.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"53 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":"132452699","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
Development and Testing of a Low Cost Audio Based ISAR Imaging and Machine Learning System for Radar Education 基于低成本音频的雷达教育ISAR成像和机器学习系统的开发与测试
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114679
N.D. Blomerus, J. Cilliers, J. D. de Villiers
{"title":"Development and Testing of a Low Cost Audio Based ISAR Imaging and Machine Learning System for Radar Education","authors":"N.D. Blomerus, J. Cilliers, J. D. de Villiers","doi":"10.1109/RADAR42522.2020.9114679","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114679","url":null,"abstract":"This paper describes the development and testing of low cost Inverse Synthetic Aperture Radar (ISAR) turn table system with a machine learning back-end. The ISAR sensor is based on audio components which mimic the functioning of a radar system but at a much lower cost. The system is also compact enough to fit on a single desk for classroom demonstrations and experiments. The system can record range lines as the turn table revolves and form ISAR images. These images can then be used to train machine learning algorithms to demonstrate the accuracy of such algorithms. The system thus allows for classroom demonstrations of the sensor to classifier chain in a way that is immediately accessible to students.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"1 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":"130614544","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
Synthesis of Micro-Doppler Signatures for Abnormal Gait using Multi-branch Discriminator with Embedded Kinematics 基于嵌入运动学的多分支鉴别器合成异常步态微多普勒特征
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114646
B. Erol, S. Gurbuz, M. Amin
{"title":"Synthesis of Micro-Doppler Signatures for Abnormal Gait using Multi-branch Discriminator with Embedded Kinematics","authors":"B. Erol, S. Gurbuz, M. Amin","doi":"10.1109/RADAR42522.2020.9114646","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114646","url":null,"abstract":"A key limiting factor in the depth, hence accuracy of deep neural networks (DNNs) designed for radar applications, is the meager amount of data typically available for training. Generative adversarial networks (GANs) have been proposed in many fields for the generation of synthetic data. It was shown, however, that when applied to micro-Doppler signature simulation, GANs suffer from performance degradation due to the generation of kinematically impossible samples. In this work, kinematic analysis of the micro-Doppler signature envelope is integrated as an additional branch in the discriminator network of a GAN to improve the kinematic fidelity of synthetic data when simulating abnormal gait signatures. Results show that the proposed multi-branch GAN network results in greater overlap in the feature space of synthetic abnormal gait samples with that of measured signatures for abnormal gait.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"37 4 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":"131211033","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
Quantum Two-Mode Squeezing Radar: SNR and Detection Performance 量子双模压缩雷达:信噪比和探测性能
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114696
David Luong, S. Rajan, B. Balaji
{"title":"Quantum Two-Mode Squeezing Radar: SNR and Detection Performance","authors":"David Luong, S. Rajan, B. Balaji","doi":"10.1109/RADAR42522.2020.9114696","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114696","url":null,"abstract":"We analyze the signal-to-noise ratio (SNR) metric in the context of quantum two-mode squeezing (QTMS) radar and find that there are actually two SNRs associated with a QTMS radar, one for the received signal and another for a signal retained inside the radar. Definitions for these SNRs are proposed which are simpler than those hitherto used in the quantum radar literature. We plot receiver operating characteristic (ROC) curves for varying values of these two SNRs. These plots show that the quality of the matched filtering performed by the radar, as quantified by the SNR of the retained signal, can have a strong impact on detection performance.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"45 4 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":"132219282","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
Target Sidelobes Removal via Sparse Recovery in the Subband Domain of an OFDM RadCom System OFDM RadCom系统子带域稀疏恢复去除目标副瓣
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114819
S. Bidon, Damien Roque, S. Mercier
{"title":"Target Sidelobes Removal via Sparse Recovery in the Subband Domain of an OFDM RadCom System","authors":"S. Bidon, Damien Roque, S. Mercier","doi":"10.1109/RADAR42522.2020.9114819","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114819","url":null,"abstract":"In this paper, the problem of target masking induced by sidelobes arising in an OFDM RadCom System is considered. To fully exploit the waveform structure and address practical scenarios, we propose to deal with the sidelobes in the subband domain via sparse recovery. Accordingly, we design a sparsifying dictionary modeling at the same time the target's peak and pedestal (i.e., random sidelobes). Results on synthetic data show that our approach allows one to remove not only the target pedestal but also range ambiguities arising when all subbands are not active.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"81 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":"133060121","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
Next-Generation Software Defined Radar: First Results 下一代软件定义雷达:初步成果
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114674
E. Zaugg, Alexander Margulis, M. Margulis, Joshua P. Bradley, Alexander Kozak, Jeffrey S. Budge
{"title":"Next-Generation Software Defined Radar: First Results","authors":"E. Zaugg, Alexander Margulis, M. Margulis, Joshua P. Bradley, Alexander Kozak, Jeffrey S. Budge","doi":"10.1109/RADAR42522.2020.9114674","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114674","url":null,"abstract":"ARTEMIS, Inc. has begun flight testing a new radar system called the SlimSDR (for Slim, Software Defined Radar). This successor to the ARTEMIS SlimSAR began test flights in September 2019. Like the SlimSAR, it is a compact radar system, but provides additional capabilities and flexibility. As a software defined radar, the SlimSDR is modular, multi-frequency, and applicable to multiple applications. This paper details the design and development process of the SlimSDR and shows initial results from the first flight tests of the system.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"1 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":"114574192","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
Studies of Front-End Distortion Characterization via Mutual Coupling Measurements in Phased Array Systems 相控阵系统中相互耦合测量的前端畸变特性研究
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114611
M. Herndon, M. Yeary, R. Palmer
{"title":"Studies of Front-End Distortion Characterization via Mutual Coupling Measurements in Phased Array Systems","authors":"M. Herndon, M. Yeary, R. Palmer","doi":"10.1109/RADAR42522.2020.9114611","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114611","url":null,"abstract":"In pursuit of digital-at-every-element phased array radars, research is ongoing investigating the application of memory-polynomial predistortion for correcting nonlinear distortion effects observed in high-power amplifiers operating in saturation. This paper describes the motivation behind and several experiments from a project exploring whether distortion models may be trained using data captured from an active array via mutual coupling between elements, a method which could theoretically provide a complete description of the distortion affecting each element from the digital-to-analog converter to antenna. For the first time, this paper addresses the concept of combining mutual coupling with digital predistortion.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"65 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":"114805722","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
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