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2014 IEEE Radar Conference最新文献

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Fully adaptive radar for target tracking part I: Single target tracking 目标跟踪的全自适应雷达第一部分:单目标跟踪
2014 IEEE Radar Conference Pub Date : 2014-05-19 DOI: 10.1109/RADAR.2014.6875604
K. Bell, C. Baker, G. Smith, J. Johnson, M. Rangaswamy
{"title":"Fully adaptive radar for target tracking part I: Single target tracking","authors":"K. Bell, C. Baker, G. Smith, J. Johnson, M. Rangaswamy","doi":"10.1109/RADAR.2014.6875604","DOIUrl":"https://doi.org/10.1109/RADAR.2014.6875604","url":null,"abstract":"Most radar systems employ a feed-forward processing chain in which they first perform some low-level processing of received sensor data to obtain target detections and then pass the processed data on to some higher-level processor such as a tracker, which extracts information to achieve a system objective. System performance can be improved using adaptation between the information extracted from the sensor/processor and the design and transmission of subsequent illuminating waveforms. As such, cognitive or fully adaptive radar systems offer much promise. In this paper, we develop a general fully adaptive radar framework for a radar system engaged in target tracking. The model includes the higher-level tracking processor and specifies the feedback mechanism and optimization criterion used to obtain the next set of sensor data. Performance is demonstrated on a distributed sensor system in which system resources (observation time on each sensor) are allocated to optimize single target tracking performance.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125244115","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: 40
Target recognition using scattering features extracted with EMD 基于EMD提取散射特征的目标识别
2014 IEEE Radar Conference Pub Date : 2014-05-19 DOI: 10.1109/RADAR.2014.6875569
I. Jouny
{"title":"Target recognition using scattering features extracted with EMD","authors":"I. Jouny","doi":"10.1109/RADAR.2014.6875569","DOIUrl":"https://doi.org/10.1109/RADAR.2014.6875569","url":null,"abstract":"Scattering features extracted via complex Empirical Mode Decomposition (EMD) are used for radar target recognition. EMD, which is associated with the Hilbert-Huang transform, can be used to extract inherent oscillations known as Implicit Mode Functions (IMFs) from a radar backscatter. These IMFs can be associated with the locations of the target scattering centers, and consequently with the target geometry or down range profile as seen by the interrogating radar. Features extracted using EMD are then presented to a distance-based target recognition system. The proposed target classification scheme is tested using synthetic and real radar data recorded in a compact range.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116659100","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
77 GHz radar scattering properties of pedestrians 行人的77 GHz雷达散射特性
2014 IEEE Radar Conference Pub Date : 2014-05-19 DOI: 10.1109/RADAR.2014.6875687
Domenic J. Belgiovane, Chi-Chih Chen, Ming Chen, Stanley Y. P. Chien, Rini Sherony
{"title":"77 GHz radar scattering properties of pedestrians","authors":"Domenic J. Belgiovane, Chi-Chih Chen, Ming Chen, Stanley Y. P. Chien, Rini Sherony","doi":"10.1109/RADAR.2014.6875687","DOIUrl":"https://doi.org/10.1109/RADAR.2014.6875687","url":null,"abstract":"Using radars for detecting and tracking pedestrians has important safety and security applications. Most existing human detection radar systems operate in UHF, X-band, and 24GHz bands. The newly allocated 76-77 GHz frequency band for automobile collision avoidance radar systems has once again raised great interest in pedestrian detection and tracking at these frequencies due to its longer detection range and better location accuracy. The electromagnetic scattering properties must be thoroughly understood and analyzed so a catalog of human scattering can be utilized for intensive automotive radar testing. Measurements of real human subjects at these frequencies is not a trivial task. This paper presents validation between the measured radar cross section (RCS) patterns of various human subjects and a full-wave EM simulation. The RCS of a human is shown to depend on a number of factors, such as posture, body shape, clothing type, etc.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117141800","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: 23
Multistage algorithms for extended dwell target detection 扩展驻留目标检测的多阶段算法
2014 IEEE Radar Conference Pub Date : 2014-05-19 DOI: 10.1109/RADAR.2014.6875597
A. S. Paulus, W. Melvin, Douglas B. Williams
{"title":"Multistage algorithms for extended dwell target detection","authors":"A. S. Paulus, W. Melvin, Douglas B. Williams","doi":"10.1109/RADAR.2014.6875597","DOIUrl":"https://doi.org/10.1109/RADAR.2014.6875597","url":null,"abstract":"Improvements in detecting weak targets from a small radar platform must come through increased temporal integration, i.e., extending the time over which target samples are coherently integrated. Conventional single-channel radar assumes a linear-phase signal model that is only accurate over a short dwell time for typical target motion. Over an extended dwell, the target signal includes multiple nonlinear phase components, each of whose effects become significant at different times during the dwell. An algorithm is presented that develops a multiphase signal model in multiple stages based on these times. A modification of the proposed approach improves the signal model for the most challenging targets. When used as the detection filter, the multiphase signal model yields near optimal performance over an extended dwell time for a wide range of target parameters. Typical improvement in output signal-to-noise ratio (SNR) for a 500 ms dwell is 12-13 dB over conventional processing.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117247927","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
SAR images refocusing and scattering center detection for infrastructure monitoring 基础设施监测SAR图像重聚焦与散射中心检测
2014 IEEE Radar Conference Pub Date : 2014-05-19 DOI: 10.1109/RADAR.2014.6875610
A. Anghel, Gabriel Vasile, C. Ioana, R. Cacoveanu, S. Ciochină, J. Ovarlez, R. Boudon, G. D'Urso
{"title":"SAR images refocusing and scattering center detection for infrastructure monitoring","authors":"A. Anghel, Gabriel Vasile, C. Ioana, R. Cacoveanu, S. Ciochină, J. Ovarlez, R. Boudon, G. D'Urso","doi":"10.1109/RADAR.2014.6875610","DOIUrl":"https://doi.org/10.1109/RADAR.2014.6875610","url":null,"abstract":"Infrastructure monitoring applications can require the tracking of slowly moving points of a certain structure. Given a certain point from a structure to be monitored, in the context of available SAR products where the image is already focused in a slant range - azimuth grid, it is not obvious if this point is the scattering center, if it is in layover or if it is visible from the respective orbit. This paper proposes a refocusing procedure of SAR images on a set of measured points among with a 4D tomography based scattering center detection. The refocusing procedure consists of an azimuth defocusing followed by a modified back-projection on the given set of points. The presence of a scattering center at the given positions is detected by computing the local elevation-velocity plane for each point and testing if the main response is at zero elevation. The refocusing and scattering center detection algorithm is validated on real data acquired with the TerraSAR-X satellite during March-June 2012. The mean displacement velocities of the detected scatterers show good agreement with the in-situ measurements.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125568281","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
Robust navigation based on bistatic radar and BiSensors for unmanned air systems (UASs) using integration of multiple sensors fusion architecture 基于双基地雷达和传感器的多传感器融合鲁棒导航
2014 IEEE Radar Conference Pub Date : 2014-05-19 DOI: 10.1109/RADAR.2014.6875675
Y. Madany, H. Elkamchouchi, Mostafa M. Ahmed
{"title":"Robust navigation based on bistatic radar and BiSensors for unmanned air systems (UASs) using integration of multiple sensors fusion architecture","authors":"Y. Madany, H. Elkamchouchi, Mostafa M. Ahmed","doi":"10.1109/RADAR.2014.6875675","DOIUrl":"https://doi.org/10.1109/RADAR.2014.6875675","url":null,"abstract":"Unmanned aerial vehicles (UAVs) have become one of the most popular and promising means for both military and civilian posts and academic research areas. Localization of the UAVs and persistent tracking of a UAV have vital importance to provide a UAV with navigation information and help to cope with getting lost permanently. Indeed, inertial navigation system (INS) and global positioning system (GPS) seem to be adequate for navigation of UAVs. However, an alternative augmented navigation system for UAVs should be taken into consideration since INS has accumulated errors and GPS always has the possibility of jamming and satellite signal loss. Unmanned air systems (UASs) are playing increasingly prominent roles in defense programs and strategy around the world. For many of applications to develop into maturity, the reliability of UASs will need to increase, their capabilities will need to be extended further, their ease of use will need to be improved, and their cost will have to come down. In this paper the fusion between the data derived from the magnetometer, rate-gyro, accelerometer, pitot tube, pressure and the GPS is integrated in one system using an extended kalman filter (EKF) which uses a linear error model to estimate the errors in the states for UAV to enhance its performances. The proposed system introduces a robust navigation based on bistatic radar and bi-sensor for UAVs flight dynamics with decreases the faults in operational environment.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122576248","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
Measurement of surface currents from a shipborne HFSWR 测量船载高频小波器的表面电流
2014 IEEE Radar Conference Pub Date : 2014-05-19 DOI: 10.1109/RADAR.2014.6875639
Zhongbao Wang, Junhao Xie, Zhenyuan Ji, T. Quan, Xingzhao Liu
{"title":"Measurement of surface currents from a shipborne HFSWR","authors":"Zhongbao Wang, Junhao Xie, Zhenyuan Ji, T. Quan, Xingzhao Liu","doi":"10.1109/RADAR.2014.6875639","DOIUrl":"https://doi.org/10.1109/RADAR.2014.6875639","url":null,"abstract":"The spreading first-order sea echo spectrum in shipborne high-frequency surface wave radar (HFSWR) severely impacts the measurement of surface currents. Space-time processing techniques like space-time multiple signal classification (ST-MUSIC) algorithm, usually studied for two-dimensional high resolution radar imaging, are the effective methods for solving the problem. The rank of the sea echo covariance matrix is an important indicator of the severity of the sea echo scenario. With this knowledge, the sea echo can be accurately extracted from the complicated radar returns by using the ST-MUSIC algorithm. Furthermore, the least-squares method is introduced to estimate the uniform surface current vectors from a single shipborne HFSWR by fitting the adjacent radial current vectors. The simulation results have verified the validity of these algorithms.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128400927","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
Estimation and correction of rotation axes offset error in antenna array measurements 天线阵测量中旋转轴偏移误差的估计与校正
2014 IEEE Radar Conference Pub Date : 2014-05-19 DOI: 10.1109/RADAR.2014.6875684
L. Patton, Christine Bryant
{"title":"Estimation and correction of rotation axes offset error in antenna array measurements","authors":"L. Patton, Christine Bryant","doi":"10.1109/RADAR.2014.6875684","DOIUrl":"https://doi.org/10.1109/RADAR.2014.6875684","url":null,"abstract":"The problem of array measurement and calibration is addressed for the case in which the axes of rotation used during the measurement process are offset via a rotation and translation from the coordinate system that defines angle of arrival. A method for estimating the translation and rotation parameters from the measured data is presented, and the estimation/correction procedure is demonstrated on measured data.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128405445","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
Interpolation and sparse reconstrunctions of Doppler and microDoppler signatures under missing samples 缺失样本下多普勒和微多普勒特征的插值和稀疏重建
2014 IEEE Radar Conference Pub Date : 2014-05-19 DOI: 10.1109/RADAR.2014.6875721
B. Jokanović, M. Amin, T. Dogaru
{"title":"Interpolation and sparse reconstrunctions of Doppler and microDoppler signatures under missing samples","authors":"B. Jokanović, M. Amin, T. Dogaru","doi":"10.1109/RADAR.2014.6875721","DOIUrl":"https://doi.org/10.1109/RADAR.2014.6875721","url":null,"abstract":"The paper considers Doppler and microDoppler radar signature estimations in the presence of missing samples using time-frequency distributions. Incomplete or random sampled data can be due to ranging and localization enhancements, discarding noisy measurements, hardware simplification, sampling rate limitations, or logistical restrictions on data collections and acquisition. We demonstrate that the use of interpolators to estimate the missing samples in the instantaneous autocorrelation function outperforms time-domain data interpolations. We compare time-frequency distributions with and without data interpolations and contrast their performance with sparse signal reconstruction which exploits the sparsity of the Doppler signature in the time-frequency domain.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128463387","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
FMCW SAR based on USRP hardware platform 基于USRP硬件平台的FMCW SAR
2014 IEEE Radar Conference Pub Date : 2014-05-19 DOI: 10.1109/RADAR.2014.6875653
D. Gromek, P. Krysik, K. Ndini, P. Samczyński
{"title":"FMCW SAR based on USRP hardware platform","authors":"D. Gromek, P. Krysik, K. Ndini, P. Samczyński","doi":"10.1109/RADAR.2014.6875653","DOIUrl":"https://doi.org/10.1109/RADAR.2014.6875653","url":null,"abstract":"The paper presents a concept of using universal software radio peripheral (USRP) as a hardware platform for frequency modulation continuous wave (FMCW) synthetic aperture radar (SAR). The concept presented has been successfully verified through several measurements in the laboratory, as well as in real scenarios where the USRP-based SAR radar was mounted on a ground moving platform and SAR images of the surrounding area were created. The results obtained show that USRP hardware can be used successfully in low cost SAR projects, as well as a system for testing FMCW analog front ends. Moreover, due to its small size the proposed system can be used as a direct digital synthesizer (DDS) and analog digital converter (ADC) for low cost systems dedicated for small ultralight aircrafts or medium size unmanned aerial vehicles (UAV).","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128478177","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
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