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Doppler-Only Multistatic Radar via Sequential Convex Optimization 基于序贯凸优化的多普勒多站雷达
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114826
J. Hodkin, V. Chandrasekar
{"title":"Doppler-Only Multistatic Radar via Sequential Convex Optimization","authors":"J. Hodkin, V. Chandrasekar","doi":"10.1109/RADAR42522.2020.9114826","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114826","url":null,"abstract":"Localization via Doppler-only multistatic radar is addressed by the application of sequential convex programming. The optimization approach as well as the radar modality are described. Two case studies for a single receiver and multiple transmitters are shown. The localization error for this approach and a well known nonlinear optimization method are compared. We show that the sequential convex programming method described can perform well with low signal-to-noise ratios.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"52 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":"134039283","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
Radar Cross-Section of Potholes at Automotive Radar Frequencies 汽车雷达频率下凹坑的雷达横截面
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114858
Abhilasha Srivastava, Abhishek Goyal, S. S. Ram
{"title":"Radar Cross-Section of Potholes at Automotive Radar Frequencies","authors":"Abhilasha Srivastava, Abhishek Goyal, S. S. Ram","doi":"10.1109/RADAR42522.2020.9114858","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114858","url":null,"abstract":"Automated detection of potholes in roads can increase driving safety for both passengers and vehicles. Potholes - especially those covered with water - are hard to detect using cameras, while vibration based detection using accelerometers cannot be used to find potholes ahead of the ego vehicle. In this paper, we study the feasibility of pothole detection using automotive radar by estimating and contrasting the pothole radar cross-section (RCS) with the backscatter from a flat road. We estimate the two-dimensional RCS of potholes from the scattered electric field simulated using finite difference time domain techniques. Our results show that the potholes give rise to significant backscatter only when the electrical properties of the pothole material are sufficiently different from the neighboring ground material. Alternatively, potholes with sloping walls forming a triangular cross-section give rise to stronger returns than those with a rectangular cross-section. The size, depth and curvature of the potholes give rise to only slight variations in the RCS. Also, the RCS from potholes filled with air and rainwater are comparable due to the low dielectric constant and conductivity of rainwater.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"43 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":"134252488","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
A Linguistic Perspective on Radar Micro-Doppler Analysis of American Sign Language 美国手语雷达微多普勒分析的语言学视角
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114818
S. Gurbuz, A. Gurbuz, E. Malaia, Darrin J. Griffin, Chris S. Crawford, M. M. Rahman, Ridvan Aksu, Emre Kurtoğlu, Robiulhossain Mdrafi, Ajaymehul Anbuselvam, Trevor Macks, Engin Ozcelik
{"title":"A Linguistic Perspective on Radar Micro-Doppler Analysis of American Sign Language","authors":"S. Gurbuz, A. Gurbuz, E. Malaia, Darrin J. Griffin, Chris S. Crawford, M. M. Rahman, Ridvan Aksu, Emre Kurtoğlu, Robiulhossain Mdrafi, Ajaymehul Anbuselvam, Trevor Macks, Engin Ozcelik","doi":"10.1109/RADAR42522.2020.9114818","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114818","url":null,"abstract":"Although users of American Sign Language (ASL) comprise a significant minority in the U.S. and Canada, people in the Deaf community have been unable to benefit from many new technologies, which depend upon vocalized speech, and are designed for hearing individuals. While video has led to tremendous advances in ASL recognition, concerns over invasion of privacy have limited its use for in-home smart environments. This work presents initial work on the use of RF sensors, which can protect user privacy, for the purpose of ASL recognition. The new offerings of 2D/3D RF data representations and optical flow are presented. The fractal complexity of ASL is shown to be greater than that of daily activities - a relationship consistent with linguistic analysis conducted using video.","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":"134507813","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: 17
The $L^{2P}$ Canceller $L^{2P}$消去器
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114572
K. Gerlach, K. Wagner
{"title":"The $L^{2P}$ Canceller","authors":"K. Gerlach, K. Wagner","doi":"10.1109/RADAR42522.2020.9114572","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114572","url":null,"abstract":"In this manuscript a treatment of the <tex>$L^{2P}$</tex> canceller is presented for real and complex inputs. The <tex>$L^{2P}$</tex> canceller seeks to minimize the <tex>$2P$</tex>-norm for integer values of <tex>$P$</tex>. Minimizing the <tex>$2P$</tex>-norm approximates the mini-max function as <tex>$P$</tex> increases.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"304 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":"116586025","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
[15 mixed Awards] [15个混合奖项]
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/radar42522.2020.9114666
{"title":"[15 mixed Awards]","authors":"","doi":"10.1109/radar42522.2020.9114666","DOIUrl":"https://doi.org/10.1109/radar42522.2020.9114666","url":null,"abstract":"","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":"121723099","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
Dynamic Range Considerations for Modern Digital Array Radars 现代数字阵列雷达动态范围的考虑
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114607
Nicholas Peccarelli, B. James, C. Fulton, N. Goodman
{"title":"Dynamic Range Considerations for Modern Digital Array Radars","authors":"Nicholas Peccarelli, B. James, C. Fulton, N. Goodman","doi":"10.1109/RADAR42522.2020.9114607","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114607","url":null,"abstract":"Dynamic range (DR) is generally defined as the ratio between the largest and smallest identifiable signals in a radar and is often quoted as a critical metric when referring to the performance of a radar system. However, the definition of DR can vary widely depending on the context; there are a large number of cited DR definitions in the literature, many of which differ only very slightly. In the increasingly crowded wireless spectrum of today's world, a more complete definition of DR, specifically for digital phased arrays, is needed for clarity and consistency. This paper reviews several useful DR definitions and evaluates their overall ability to accurately define radar performance in light of impairments that occur, especially in recently developed digital arrays. Additionally, while digital arrays can experience DR improvements on the order of 10 $text{log}_{10}(N)$, where $N$ is the number of transceivers, this improvement has been shown to be limited by the correlation of spurious products. Methods for removing these spurs and decorrelating any remaining nonlinear distortion are briefly mentioned to highlight their effect on the overall system DR. Ultimately, the goal of this paper is to take a system-level approach to evaluating the DR of modern digital array radar systems that leverage recent advancements in digital signal processing techniques.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"76 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":"122261366","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
Conventional SAR Change Detection Using Methods for Non-conventional SAR 非常规SAR的常规SAR变化检测方法
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114554
V. Vu, M. Pettersson, Thomas K. Sjögren
{"title":"Conventional SAR Change Detection Using Methods for Non-conventional SAR","authors":"V. Vu, M. Pettersson, Thomas K. Sjögren","doi":"10.1109/RADAR42522.2020.9114554","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114554","url":null,"abstract":"Conventional SAR refers to SAR systems with small fractional bandwidth and short relative aperture whereas non-conventional SAR refers to SAR systems with large fractional bandwidth and long relative aperture. A large number of change detection methods has been developed for non-conventional SAR that can provide high detection probability and low false alarm rate. A research question is that whether these change detection methods are available for conventional SAR or not. In this study, we will try to answer this research question by applying a change detection method developed for non-conventional SAR system to conventional SAR system.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"14 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":"125102448","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
Zero-Order Reconstruction Optimization of Waveforms (ZOROW) for Modest DAC Rates 中等DAC速率下波形的零阶重建优化(ZOROW)
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114615
Charles A. Mohr, Jonathan Owen, S. Blunt, Chris Allen
{"title":"Zero-Order Reconstruction Optimization of Waveforms (ZOROW) for Modest DAC Rates","authors":"Charles A. Mohr, Jonathan Owen, S. Blunt, Chris Allen","doi":"10.1109/RADAR42522.2020.9114615","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114615","url":null,"abstract":"The use of waveforms possessing constant envelope and good spectral containment, combined with high-fidelity arbitrary waveform generation (AWG) capability, has been shown to minimize transmitter distortion effects when waveform diversity is needed. Software-defined radios (SDRs) represent a lower cost, attritable alternative to AWGs at the price of lower fidelity. Specifically, the lower digital-to-analog conversion (DAC) rates supported by SDRs introduce new design challenges for the generation of waveforms requiring high fidelity, most notably those containing in-band spectral notches. Here these challenges are addressed via the ZOROW waveform design scheme that accounts for physical attributes of the SDR. Distortion effects arising from the modest DAC rate are characterized and their mitigation is demonstrated using experimental measurements.","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":"126150987","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: 8
Transfer Learning from Audio Deep Learning Models for Micro-Doppler Activity Recognition 基于音频深度学习模型的微多普勒活动识别迁移学习
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114643
K. T. Tran, Lewis D. Griffin, K. Chetty, S. Vishwakarma
{"title":"Transfer Learning from Audio Deep Learning Models for Micro-Doppler Activity Recognition","authors":"K. T. Tran, Lewis D. Griffin, K. Chetty, S. Vishwakarma","doi":"10.1109/RADAR42522.2020.9114643","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114643","url":null,"abstract":"This paper presents a mechanism to transform radio frequency micro-Doppler signatures into a pseudo-audio representation, which results in significant improvements in transfer learning from a deep learning model trained on audio. We also demonstrate that transfer learning from a deep learning model trained on audio is more effective than transfer learning from a model trained on images, which suggests machine learning methods used to analyse audio can be leveraged for micro-Doppler. Finally, we utilise an occlusion method to gain an insight into how the deep learning model interprets the micro-Doppler signatures and the subsequent pseudo-audio representations.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"5 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":"129962011","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: 8
Tackling the different target dynamics issues in counter drone operations using passive radar 利用被动雷达处理反无人机作战中的不同目标动力学问题
2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI: 10.1109/RADAR42522.2020.9114618
T. Martelli, F. Filippini, F. Colone
{"title":"Tackling the different target dynamics issues in counter drone operations using passive radar","authors":"T. Martelli, F. Filippini, F. Colone","doi":"10.1109/RADAR42522.2020.9114618","DOIUrl":"https://doi.org/10.1109/RADAR42522.2020.9114618","url":null,"abstract":"This paper deals with the detection of small unmanned air vehicles (UAVs) and drones in high-density target scenarios such as airport terminal areas. In fact, in such conditions, strong reflections by high radar cross section (RCS) targets are likely to prevent the detection of very weak target echoes. In this work, we aim at overcoming this issue by taking advantage of long coherent processing intervals (CPIs) and by implementing a CLEAN-like multistage algorithm to remove the strongest target contributions. The effectiveness of the proposed strategy is first demonstrated against simulated data representing a typical scenario. Then, a preliminary experimental result is shown, obtained against data collected by the DVB-T based AULOS ® passive radar developed by Leonardo S.p.A..","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"397 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":"124500568","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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