Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.最新文献

Development of a Multi-Dimensional SVD based Technique for Multi-Receivers Ultrasound used in Bone Status Characterization 基于多维SVD的多受体超声骨状态表征技术的发展

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706217

M. Sasso, M. Talmant, G. Haiat, P. Laugier, S. Naili

引用次数: 4

Advanced Optical Processor for Arbitrary Waveform Radar Imaging 用于任意波形雷达成像的先进光学处理器

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706160

K. Frampton, J. Lafuse, J. Aloi, M. Brown

{"title":"Advanced Optical Processor for Arbitrary Waveform Radar Imaging","authors":"K. Frampton, J. Lafuse, J. Aloi, M. Brown","doi":"10.1109/SAM.2006.1706160","DOIUrl":"https://doi.org/10.1109/SAM.2006.1706160","url":null,"abstract":"Essex has developed a prototype hybrid optical/digital processor for range-Doppler image formation using wideband arbitrary waveforms. The processor is called the advanced optical processor (AOP) and is a hybrid acousto-optic/digital processor that generates high dynamic range, range-Doppler images from wideband radar returns in real time. The AOP was first tested at a U.S. Government facility in November 2005. The AOP is currently scheduled to be tested with a range radar in April 2006. The laboratory testing included three waveform types and verification of all the necessary trigger control signals. The range radar testing will include collection and processing of the same three waveform signals to demonstrate arbitrary waveform capability. The AOP supports high resolution processing necessary for target discrimination and kill assessment by enabling the use of true arbitrary wideband waveforms. The selected architecture combines the advantages of both optical signal processing for the front-end receiver and high-speed digital signal processing for the real-time processing. Its size is a 6U form-factor and fits within the 6U electronic chassis","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127452769","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

Blind Separation of Convolutive Mixtures using Nonstationarity and Fractional Lower Order Statistics (FLOS): Application to Audio Signals 基于非平稳和分数阶统计量的卷积混合盲分离:在音频信号中的应用

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706101

Mohamed Sahmoudi, H. Boumaraf, M. Amin, D. Pham

引用次数: 14

A Novel Non-Linear Approximation to the Huygens-Fresnel Diffraction Patterns for Reconstructing Digital Holographic SAR Images 惠更斯-菲涅耳衍射图的非线性近似重建数字全息SAR图像

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706147

R. Alizadeh, H. Amindavar, N. Granpayeh

{"title":"A Novel Non-Linear Approximation to the Huygens-Fresnel Diffraction Patterns for Reconstructing Digital Holographic SAR Images","authors":"R. Alizadeh, H. Amindavar, N. Granpayeh","doi":"10.1109/SAM.2006.1706147","DOIUrl":"https://doi.org/10.1109/SAM.2006.1706147","url":null,"abstract":"Based on the nonlinear approximation of Huygens-Fresnel diffraction patterns, the SAR images of a target can be made up from a knowledge of a hologram for all frequencies and all aspects angles to provide a complete description of the target. In this paper we reconstruct the image of hologram employing the multiresolution Fresnelet transform to approximate the Huygens-Fresnel diffraction patterns in an off-axis geometry from the simulated test pattern (3bar). Fresnel transform is a wavelet-like transform, very close to Gabor functions (M. Unser et al., 1992) and well localized with respect to the holographic process. This method allows us to generate and reconstruct hologram on a digital computer, and apply multiresolution wavelet base analysis and special filtering on it. Since images are nonstationary process, we use fractional Brownian motion (fBm) method to describe texture in SAR images. It is known as a suitable model to classify a vast number of natural phenomena and shapes, such as the range of rivers, terrain surfaces, mountains ripples of water, coastlines and etc. The novelty of this technique lies in the use of Fresnel transform in reconstruction of holographic SAR images and fBm model for classifying them","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123297860","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

The Array Geometry Design in Airborne Microwave 2-D Direction Finding 机载微波二维测向阵列几何设计

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706092

Cheol-Sun Park, W. Jang, Daeyoung Kim

引用次数: 2

Model for a Smart Network Monitoring a Wired Sensor Matrix 基于有线传感器矩阵的智能网络监控模型

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706173

L. Magagni, D. Gennaretti, M. Nicolini, M. Sergio, R. Guerrieri, R. Canegallo

{"title":"Model for a Smart Network Monitoring a Wired Sensor Matrix","authors":"L. Magagni, D. Gennaretti, M. Nicolini, M. Sergio, R. Guerrieri, R. Canegallo","doi":"10.1109/SAM.2006.1706173","DOIUrl":"https://doi.org/10.1109/SAM.2006.1706173","url":null,"abstract":"Monitoring harsh environments such as underwater scenarios or aircraft external surfaces pertains to important applications like assisted navigation and tactical surveillance; nevertheless, it poses additional challenges compared with standard applications. At Transducers2005 we presented a wired addressing architecture of distributed sensors for monitoring real-time in-situ pressure variations in underwater environment that faces the above-mentioned issues. This architecture consists in a double array of identical and interconnected smart nodes monitoring a matrix of passive sensors. In this paper, we present an analysis of the delay model related to the presented architecture and a calculation of the overall frame-rate of the system as a function of the geometrical topology of the arrays. The topology of the network, i.e. the length of each bus and the number of nodes, can be chosen according to the application, and directly affects the global capacitive load on the serial lines. Each serial line can be schematized with a distributed RC model for the flat cable plus a lumped capacitance for each smart node. Then, a 3rd-order pi-segmented model of O'Brien-Savarino is calculated for a 16-block line with block length equal to 0.3 m. Thanks to that, the global time per iteration is calculated on each bus as well as the scanning time of the whole matrix and the frame rate for the system as a function of sensor distribution and of the aspect ratio of the matrix. This model can be employed to identify the optimal arrangement for the sensor matrix and smart node arrays","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114179152","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

Sanger's Like Systems for Generalized Principal and Minor Component Analysis 广义主次元分析的Sanger类系统

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706168

M. Hasan

引用次数: 3

Parametric GLRT for Multichannel Adaptive Signal Detection 多通道自适应信号检测的参数化GLRT

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706163

K. J. Sohn, Hongbin Li, B. Himed

{"title":"Parametric GLRT for Multichannel Adaptive Signal Detection","authors":"K. J. Sohn, Hongbin Li, B. Himed","doi":"10.1109/SAM.2006.1706163","DOIUrl":"https://doi.org/10.1109/SAM.2006.1706163","url":null,"abstract":"We consider herein the problem of detecting a multichannel signal in the presence of spatially and temporally colored disturbance. A parametric generalized likelihood ratio test (GLRT) is developed by modeling the disturbance as a multichannel autoregressive (AR) process. The parametric GLRT differs from Kelly's widely known GLRT which does not utilize any parametric model for the disturbance signal. Maximum likelihood (ML) parameter estimation underlying the parametric GLRT is examined. It is shown that the ML estimator for the alternative hypothesis is non-linear and there exists no closed-form expression. An alternative asymptotic ML (AML) estimator is presented, which yields asymptotically optimum parameter estimates at a reduced complexity. The performance of the parametric GLRT is studied by considering challenging cases with limited or no training signals for parameter estimation. Such cases (especially when training is unavailable) are of great interest in detecting signals in heterogeneous, fast changing, or dense-target environments. Compared with the recently introduced parametric adaptive matched filter (PAMF) and parametric Rao detectors, the parametric GLRT achieves higher data efficiency, offering improved detection performance in general","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126660123","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: 22

Adaptive Matched Direction Detector 自适应匹配方向检测器

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706108

O. Besson, L. Scharf, S. Kraut

引用次数: 0

Wide-band transducers and higher-order spectral characterization of low-level ultrasounds in wood 木材中低水平超声波的宽带换能器和高阶光谱表征

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706218

J. De la Rosa, I. Lloret, Puntonet, J. Górriz

引用次数: 0