发布求助
文献互助 智能选刊 最新文献

2018 International Conference on Radar (RADAR)最新文献

筛选
英文 中文
Multi-Band Passive Radar Imaging Using Satellite Illumination 基于卫星照明的多波段无源雷达成像
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557260
D. Cristallini, I. Pisciottano, H. Kuschel
{"title":"Multi-Band Passive Radar Imaging Using Satellite Illumination","authors":"D. Cristallini, I. Pisciottano, H. Kuschel","doi":"10.1109/RADAR.2018.8557260","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557260","url":null,"abstract":"Over the last years the interest has grown over imaging capabilities of passive radars, [1] [2]. In particular, the MAPIS (Multi-chAnnel Passive ISAR for military application) project funded by EDA (european defence agency) has shown the potential of ISAR imaging using passive radars based on different illuminators of opportunity, [3]. The results of MAPIS ([4]) demonstrated also how the obtained ISAR images can be effectively exploited for target classification and recognition [5] despite the limited range resolution. The main limitation of DVB-S-based radar imaging resides in the need for cueing the system to look in the direction where the target is. This is due to the limited power budget available in the DVB-S case and in the subsequent need for highly directive pencil-beam antennas. In this paper, the idea of passive radar imaging is further developed by proposing a multi-band passive radar system. In the proposed approach, target detection and imaging are considered two different tasks to be performed by two separate sub-systems: namely a cueing sub-system and an imaging one. The cueing subsystem is devoted to target detection, localisation, and mostly important it triggers and cues the subsequent DVB-S sub-system for target imaging. Different potential cueing sub-systems are investigated like other passive radars (based on FM, DVB-T, or other satellite communication signals) or passive emitter tracking (PET). This paper presents the system concept, and it proposes a potential experimental setup based upon hardware available at Fraunhofer FHR.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"398 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":"121003572","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
Rapidly Adaptive CFAR Detection by Merging Individual Decisions from Two-Stage Adaptive Detectors 合并两阶段自适应检测器的个体决策的快速自适应CFAR检测
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557286
Anatolii A. Kononov, Sung-Hyun Choi, Jin-ha Kim
{"title":"Rapidly Adaptive CFAR Detection by Merging Individual Decisions from Two-Stage Adaptive Detectors","authors":"Anatolii A. Kononov, Sung-Hyun Choi, Jin-ha Kim","doi":"10.1109/RADAR.2018.8557286","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557286","url":null,"abstract":"This paper addresses the problem of target detection in adaptive arrays in situations where only a small number of training samples is available. Within the framework of two-stage adaptive detection paradigm, we propose a new two-stage (TS) joint loaded persymmetric- Toeplitz adaptive matched filter (JLPT -AMF) detector. This new detector combines, using a joint detection strategy, individual scalar CFAR decisions from two rapidly adaptive detectors: a TS TAMF detector and a TS LPAMF detector. The former is based on a TMI filter, which is an adaptive array filter employing a Toeplitz covariance matrix estimator introduced in [1]. The latter is based on an adaptive LPMI filter that uses diagonally loaded persymmetric covariance matrix (CM) estimate inversion. The TS JLPT -AMF detector ensures the constant false alarm rate (CFAR) property independently of the antenna array dimension M, the interference CM, and the number of training samples NCME to be used for estimating this CM. This new detector exhibits highly reliable detection performance, which is robust to the angular separation between the sources, even when NCME is about m/2 ~ m, m is the number of interference sources. The robustness of the proposed adaptive detector to the angular separation is analytically proven and verified with statistical simulation.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"31 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":"121361415","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
Bistatic Cross Section of Ships Between P and S Band P和S波段间船舶双基地横截面
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557243
A. Stove, M. Antoniou, D. Tzagkas, M. Ritchie
{"title":"Bistatic Cross Section of Ships Between P and S Band","authors":"A. Stove, M. Antoniou, D. Tzagkas, M. Ritchie","doi":"10.1109/RADAR.2018.8557243","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557243","url":null,"abstract":"This paper presents some data on the bistatic radar cross sections of ships at Ultra High Frequencies and at lower microwave frequencies. Although the quantity of data is limited, it is much more than has been published before. It allows a rule of thumb to be deduced: that the bistatic radar cross section is approximately the square root of its monostatic value when both values are measured in square metres.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"34 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":"124847689","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
Geosynchronous Sar Moving Target Detection and Motion Parameters Estimation Using the Non Uniform Cubic Phase Function Algorithm 基于非均匀三次相函数算法的地球同步Sar运动目标检测与运动参数估计
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557313
M. Melzi, Cheng Hu, Xichao Dong, Chang Cui
{"title":"Geosynchronous Sar Moving Target Detection and Motion Parameters Estimation Using the Non Uniform Cubic Phase Function Algorithm","authors":"M. Melzi, Cheng Hu, Xichao Dong, Chang Cui","doi":"10.1109/RADAR.2018.8557313","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557313","url":null,"abstract":"This paper addresses the issue of moving target detection and velocity estimation in the Geosynchronous Synthetic Aperture Radar (GEO SAR) scenario, this problem has not been handled yet despite the promising potential of GEO SAR systems in the global monitoring domain. New expressions for the Doppler centroid and the Doppler rate that take into account the specific features of a geosynchronous orbit are developed. Moreover, a new Ground Moving Target Indication (GMTI) technique was proposed, it makes use of the aforementioned expressions combined with the use of the Non Uniform Cubic Phase Function (NUCPF) algorithm to estimate the moving target motion parameters. Simulation results are carried out to demonstrate the accuracy of the developed expressions and the effectiveness of the proposed GEO SAR GMTI technique.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"139 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":"123597353","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
Superfast Convergence Rate in Adaptive Arrays 自适应阵列的超快收敛速率
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557281
Anatolii A. Kononov, Chang-Ho Choi, Dohyung Kim
{"title":"Superfast Convergence Rate in Adaptive Arrays","authors":"Anatolii A. Kononov, Chang-Ho Choi, Dohyung Kim","doi":"10.1109/RADAR.2018.8557281","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557281","url":null,"abstract":"This paper introduces a class of model-matched Toeplitz covariance matrix estimation (MM TCME) algorithms for adaptive arrays. Adaptive filters employing these algorithms are referred to as TMI filters. When the angular separation between the interference sources is not too close to a certain statistical resolution limit (SRL), the convergence rate for TMI filters is superior to that of loaded persymmetric covariance matrix inversion (LPMI) filters and to that of the well-known loaded SMI (LSMI) filters. In terms of the 3dB average SNR loss, for the TMI filters, the required training sample size is about ml2 (m is the number of interference sources), while that for the LPMI and LSMI filters is about $m$ and 2m, respectively. Since the TMI filters may suffer severe SNR degradation when the angular separation between the sources is near the SRL two remedies for dealing with this problem are discussed herein.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"135 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":"123786433","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
Space-Range-Doppler Focus Processing: A Novel Solution for Moving Target Integration and Estimation Using FDA-MIMO Radar 空间距离-多普勒聚焦处理:一种基于FDA-MIMO雷达的运动目标集成与估计新方法
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557297
Xiaolong Chen, Baoxin Chen, Yonghua Xue, Weishi Chen, Yong Huang
{"title":"Space-Range-Doppler Focus Processing: A Novel Solution for Moving Target Integration and Estimation Using FDA-MIMO Radar","authors":"Xiaolong Chen, Baoxin Chen, Yonghua Xue, Weishi Chen, Yong Huang","doi":"10.1109/RADAR.2018.8557297","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557297","url":null,"abstract":"Frequency diverse array (FDA) is an emerging array technique that employs a small frequency increment across its array elements to produce a range-angle-dependent beampattern, which provides promising applications for joint angle-range estimation of targets. However, the FDA has several problems for signal processing, such as angle and range coupling and Doppler integration, and few papers deal with FDA for moving target. In this paper, we combine the FDA and MIMO technique and propose the concept of space (angle)-range-Doppler (SRD) focus processing, which is a novel solution for moving target integration and estimation. It utilizes the property of FDA and high-resolution Doppler processing of MIMO. Based on the data model of FDA-MIMO radar, we provide a practical method for SRD processing via A&D joint estimation and sparse time-frequency distribution (STFD). Both theoretical and numerical simulation results verify that proposed method has better ability for joint range-angle-Doppler processing, which can be used for low-observable moving target detection and estimation under complex environment","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"75 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":"122777529","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
Study on Multistatic Primary Surveillance Radar Using DTTB Signal Delays 基于DTTB信号延迟的多站初级监视雷达研究
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557295
J. Honda, T. Otsuyama, Masato Watanabe, Yoshio Makita
{"title":"Study on Multistatic Primary Surveillance Radar Using DTTB Signal Delays","authors":"J. Honda, T. Otsuyama, Masato Watanabe, Yoshio Makita","doi":"10.1109/RADAR.2018.8557295","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557295","url":null,"abstract":"This paper presents a new concept of a multistatic primary surveillance radar (MSPSR) that uses digital terrestrial television broadcast (DTTB). We proposed a passive bistatic radar using DTTB signal delay in a previous work. During further study, we found that the system could detect signal delays from moving aircraft. The coverage area of the proposed system was also confirmed by comparing with ADS-B. Thereafter, we expanded the bistatic radar system to a multiple-receiver system, in order to realize MSPSR configuration. In this paper, a surveillance system using two receivers is introduced. First, the basic principle of the MSPSR system using DTTB signal delays is reviewed. Then, a preliminary experiment performed in the Tokyo bay area is presented. Results show that the delayed signals caused by moving aircraft can be detected at the two receivers at the same time. Finally the positional estimation using two receivers is discussed.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"35 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":"114489888","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
Analysis of Chosen Results Based on Trials with Distributed and Collocated Passive-Active Radars 分布式和配置无源-有源雷达试验选择结果分析
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557326
T. Brenner, Leszek Lamentowski, W. Dyszyński
{"title":"Analysis of Chosen Results Based on Trials with Distributed and Collocated Passive-Active Radars","authors":"T. Brenner, Leszek Lamentowski, W. Dyszyński","doi":"10.1109/RADAR.2018.8557326","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557326","url":null,"abstract":"In the course of NATO SET-195 RTG work, a field trial with active and passive PCL sensors was conducted. The aim of the trial was to compare experimental results with DMPAR (Deployable Multiband Passive-Active Radar) simulations. Although DMPAR has been devised as collocated receiver system, trials were planned with collocated as well as distributed receiver configurations. Received data has shown that distributed configuration can and will fill in the gaps in the radar coverage created by terrain shadowing or multipath propagation. Also, the overall score in terms of Track Visibility (TV) and Probability of detection (Pd) have been improved in the collocated configuration. Results of the trials have confirmed operational properties of passive-active sensor proposed by SET-195. In this paper a short introduction summing up SET-152 and SET-195 work will be presented. Next, received results of collocated and distributed DMPAR will be shown, analyzed, compared and commented. Now, using those results one can analyze and project on operational characteristics of a distributed DMPAR.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"1 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":"116730099","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
Passive 3D InISAR Using Target-Borne Illuminator of Opportunity 利用目标载机会照明器的被动3D InISAR
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557277
E. Giusti, M. Martorella
{"title":"Passive 3D InISAR Using Target-Borne Illuminator of Opportunity","authors":"E. Giusti, M. Martorella","doi":"10.1109/RADAR.2018.8557277","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557277","url":null,"abstract":"This paper proposes a new idea for forming 3D passive ISAR images. Two main innovations are presented, the first that is related to the use of a dual interferometer and the second that considers the illuminator of opportunity located on the target to be imaged. A theoretical approach was proposed in a previous paper that demonstrated passive ISAR imaging with a target-borne illuminator of opportunity in the 2D domain. In the present paper such approach is extended to a full 3D case. Simulations are used to produce some examples. Practical issues and limitations are also discussed in this paper.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"105 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":"126668206","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
Autonomous back-in parking based on occupancy grid map and EKF SLAM with W-band radar 基于占用网格图和w波段雷达EKF SLAM的自动倒车
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8851154
Hyukjung Lee, J. Chun, Kyeong-Mi Jeon
{"title":"Autonomous back-in parking based on occupancy grid map and EKF SLAM with W-band radar","authors":"Hyukjung Lee, J. Chun, Kyeong-Mi Jeon","doi":"10.1109/RADAR.2018.8851154","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8851154","url":null,"abstract":"In this paper, we propose efficient extended Kalman filter (EKF) simultaneous localization and mapping (SLAM) algorithm and occupancy grid mapping method for autonomous back-in parking. EKF SLAM can improve the accuracy of the radar position estimation more than when using measurement from odometer only, and more accurate grid map can be formed because the radar position is used to form the grid map. However, applying the existing EKF SLAM technique can not guarantee real-time performance due to the large amount of computation. The proposed algorithm reduces the computational complexity by thresholding for landmark recognition and adaptively changing the length of the state vector properly. We also introduce a mode switching control for autonomous processing and feedback control for compensating cumulative commanding errors. To verify practicality, we use scattering points of a car generated by scattering points extraction method using orthogonal matching pursuit (OMP) from a car model in simulation.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"3 27","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113963275","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
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书