2012 IEEE International Conference on Ultra-Wideband最新文献_第8页

Through-wall localization with UWB sensor network 超宽带传感器网络的穿壁定位

2012 IEEE International Conference on Ultra-Wideband Pub Date : 2012-11-12 DOI: 10.1109/ICUWB.2012.6340436

Cheng Chen, Hong Ding, Xiaotao Huang, Xiangyang Li, Jibing Yuan

引用次数: 4

Directive, electrically-small UWB antennas 指令，电小型超宽带天线

2012 IEEE International Conference on Ultra-Wideband Pub Date : 2012-11-12 DOI: 10.1109/ICUWB.2012.6340482

H. Schantz

引用次数: 5

A multiband slotted Bowtie antenna for stroke detection 用于中风检测的多波段开槽领结天线

2012 IEEE International Conference on Ultra-Wideband Pub Date : 2012-11-12 DOI: 10.1109/ICUWB.2012.6340477

Xuyang Li, M. Jalilvand, Jijing Yan, L. Zwirello, T. Zwick

引用次数: 2

Improvement of wireless channel performance using MIMO-UWB system in underground mine gallery 利用MIMO-UWB系统改善井下巷道无线信道性能

2012 IEEE International Conference on Ultra-Wideband Pub Date : 2012-11-12 DOI: 10.1109/ICUWB.2012.6340394

I. Mabrouk, L. Talbi, M. Nedil

引用次数: 1

An integrated switched injection-locked oscillator for pulsed angle modulated ultra wideband communication and radar systems 用于脉冲角调制超宽带通信和雷达系统的集成开关注入锁定振荡器

2012 IEEE International Conference on Ultra-Wideband Pub Date : 2012-11-12 DOI: 10.1109/ICUWB.2012.6340458

A. Esswein, G. Fischer, R. Weigel, T. Ussmüller, C. Carlowitz, M. Vossiek

引用次数: 3

A Bayesian nonparametric approach to tumor detection using UWB imaging 用超宽带成像进行肿瘤检测的贝叶斯非参数方法

2012 IEEE International Conference on Ultra-Wideband Pub Date : 2012-11-12 DOI: 10.1109/ICUWB.2012.6340410

Y. Nijsure, Wee Peng Tay, E. Gunawan, Joshua Lai Chong Yue

{"title":"A Bayesian nonparametric approach to tumor detection using UWB imaging","authors":"Y. Nijsure, Wee Peng Tay, E. Gunawan, Joshua Lai Chong Yue","doi":"10.1109/ICUWB.2012.6340410","DOIUrl":"https://doi.org/10.1109/ICUWB.2012.6340410","url":null,"abstract":"We develop a tumor detection and discrimination algorithm for Ultra-Wideband (UWB) microwave imaging of breast cancer based on a Bayesian nonparametric approach. We model the UWB backscattered signal as a mixture of distinct scatterer contributions, and use a Dirichlet Process mixture model (DPMM) to describe the amplitudes and delays of the backscattered returns. Because of the unbounded complexity afforded by the DPMM, model under-fitting is avoided and parameters like the clutter covariance matrix in other commonly used approaches, need not be estimated. The DPMM allows us to perform discrimination when there are multiple tumor and clutter sources that present as extended radar targets. After performing discrimination, we distinguish the tumor sources from other clutter sources using a generalized likelihood ratio test (GLRT). We perform experiments on a breast phantom with realistic dielectric contrast ratios, and compare the performance of our algorithm with a direct GLRT approach. Our numerical results show performance improvement in terms of tumor detection probability and Signal to Interference and Noise Ratio (SINR) gain of approximately 2.2 dB at a probability of detection of 0.9 over the GLRT method.","PeriodicalId":260071,"journal":{"name":"2012 IEEE International Conference on Ultra-Wideband","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126763945","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

Time of arrival based localization of UWB transmitters buried in lossy dielectric media 埋在有耗介质中的UWB发射机基于到达时间的定位

2012 IEEE International Conference on Ultra-Wideband Pub Date : 2012-11-12 DOI: 10.1109/ICUWB.2012.6340456

Michael Mirbach, W. Menzel

{"title":"Time of arrival based localization of UWB transmitters buried in lossy dielectric media","authors":"Michael Mirbach, W. Menzel","doi":"10.1109/ICUWB.2012.6340456","DOIUrl":"https://doi.org/10.1109/ICUWB.2012.6340456","url":null,"abstract":"An algorithm for subsurface localization of UWB transmitters in homogeneous dielectric media is presented. In combination with surface estimation algorithms for UWB pulse radars it allows localization behind arbitrarily shaped medium surfaces. We propose a localization system operating in the FCC UWB frequency range from 3.1 to 10.6 GHz consisting of a transmitter optimized for radiation in high permittivity media and of external radar sensors. The sensors scan the dielectric surface and also measure the time of arrival (ToA) of the signal transmitted from inside of the medium. The transmitter location is estimated by combining the measured ToA data with the knowledge about shape and position of the medium. Therefore a method to calculate wavefront refraction on the medium boundary based on the Huygens-Fresnel principle is derived. The performance of the proposed localization method is verified using electro-magnetic field simulations and measurements. The measurements have been performed with the transmitter placed in high permittivity tissue-mimicking liquid. The localization results are compared with the manually measured transmitter position showing a good agreement.","PeriodicalId":260071,"journal":{"name":"2012 IEEE International Conference on Ultra-Wideband","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115640291","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

Motion detection In-Vivo by multi-channel ultrawideband radar 基于多通道超宽带雷达的活体运动检测

2012 IEEE International Conference on Ultra-Wideband Pub Date : 2012-11-12 DOI: 10.1109/ICUWB.2012.6340451

O. Kosch, F. Thiel, F. Seifert, J. Sachs, M. Hein

{"title":"Motion detection In-Vivo by multi-channel ultrawideband radar","authors":"O. Kosch, F. Thiel, F. Seifert, J. Sachs, M. Hein","doi":"10.1109/ICUWB.2012.6340451","DOIUrl":"https://doi.org/10.1109/ICUWB.2012.6340451","url":null,"abstract":"Remote sensing of body and inner organ motion by ultra-wideband radar is a promising alternative to electrocardiogram (ECG) based gating of several diagnostic imaging and image guided therapy modalities, e.g. cardiac magnetic resonance imaging (MRI) and high energy particle therapy. In this paper, we present a noncontact approach for the detection of cardiac mechanics by means of multi-channel UWB radar sensors. To extract the required position information from UWB radar for cardiac MRI the decomposition of respiratory and cardiac motions is performed by applying a blind-source separation method based on several time-delayed second-order correlation matrices to decompose the UWB signals and extract movements of cardiac and respiratory landmarks. We compared the time evolution of these landmarks to the signals of simultaneously measured ECG's demonstrating the strong correlation between cardiac UWB and ECG signals. Furthermore, we implemented a fast 1D MR imaging method in a 3 tesla MR scanner to extract true inner organ landmark movements in real time and present these comparisons with simultaneously acquired multi-channel UWB data.","PeriodicalId":260071,"journal":{"name":"2012 IEEE International Conference on Ultra-Wideband","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114876590","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

Compressed Sensing for UWB medical radar applications 用于超宽带医疗雷达的压缩传感

2012 IEEE International Conference on Ultra-Wideband Pub Date : 2012-11-12 DOI: 10.1109/ICUWB.2012.6340444

T. Thiasiriphet, M. Ibrahim, J. Lindner

引用次数: 10

An 8–18 GHz Low noise amplifier design in 0.18μm CMOS technology 基于0.18μm CMOS技术的8-18 GHz低噪声放大器设计

2012 IEEE International Conference on Ultra-Wideband Pub Date : 2012-11-12 DOI: 10.1109/ICUWB.2012.6340425

P. Jamshidi, S. Naseh

引用次数: 1