检索结果-内蒙古大学图书馆

multiple signal classification by aggregated microphones

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2005年第7期E88A卷 1701-1707页

作者： Matsumoto, M Hashimoto, S Waseda Univ Tokyo 1698555 Japan

This paper introduces the multiple signal classification (MUSIC) method that utilizes the transfer characteristics of microphones located at the same place, namely aggregated microphones. The conventional microphone array realizes a sound localization system according to the differences in the arrival time, phase shift, and the level of the sound wave among each microphone. Therefore, it is difficult to miniaturize the microphone array. The objective of our research is to build a reliable miniaturized sound localization system using aggregated microphones. In this paper, we describe a sound system with N microphones. We then show that the microphone array system and the proposed aggregated microphone system can be described in the same framework. We apply the multiple signal classification to the method that utilizes the transfer characteristics of the microphones placed at a same location and compare the proposed method with the microphone array. In the proposed method, all microphones are placed at the same place. Hence, it is easy to miniaturize the system. This feature is considered to be useful for practical applications. The experimental results obtained in an ordinary room are shown to verify the validity of the measurement.

关键词： microphone array sound localization condenser microphone sound directivity multiple signal classification

来源：评论

学校读者我要写书评

暂无评论

multiple signal classification based on automatic order selection method for broken rotor bar detection in induction motors

引用

ELECTRICAL ENGINEERING 2017年第3期99卷 987-996页

作者： Trejo-Caballero, Gerardo Rostro-Gonzalez, Horacio de Jesus Romero-Troncoso, Rene Hugo Garcia-Capulin, Carlos Gerardo Ibarra-Manzano, Oscar Gabriel Avina-Cervantes, Juan Garcia-Perez, Arturo Univ Guanajuato Elect Comunidad Palo Blanco Carretera SalamancaValle Santiago Km 3-5 1-8 Km Guanajuato Mexico Inst Tecnol Super Irapuato Carretera Irapuato Silao Km 12-5 Guanajuato Mexico

multiple signal classification (MUSIC) algorithm has been widely used to obtain high-resolution frequency estimation for an accurate identification of frequency components in low signal-to-noise ratios. One of the main drawbacks associated with the use of the MUSIC algorithm is that its performance is fully deteriorated when a wrong frequency signal dimension order is chosen, producing that some spurious frequencies could appear or some signal frequencies could be missing. In this paper, it is proposed a multi-objective optimization method to address the frequency signal dimension order problem. The proposed approach is based on a novel feature extraction of frequency components, which allows determining an adequate frequency signal dimension order. The methodology has been integrated as part of the MUSIC algorithm, and it can find the optimal order within a predefined frequency bandwidth, where the user is interested to find a frequency component. To evaluate the effectiveness of the proposed methodology, experimental results from several current signals obtained in the detection of broken rotor bar fault in induction motors have been tested.

关键词： Induction motors Spectral analysis multiple signal classification Feature extraction Condition monitoring Optimization

来源：评论

学校读者我要写书评

暂无评论

multiple signal classification Algorithm Compensated by Extended Kalman Particle Filtering for Wi-Fi Through Wall Multi-Target Tracking 6

Multiple Signal Classification Algorithm Compensated by Exte...

引用

6th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)

作者： Ahmed, Khaled E. Attiah, Kareem M. Eltrass, Ahmed S. Univ Alexandria Fac Engn Dept Elect Engn Alexandria Egypt

ISBN: (纸本)9781509004690

In this work, a multiple-target tracking problem for a Wi-Fi through wall system is formulated and a new Direction Of Arrival (DOA) angle estimation technique is investigated to solve the tracking problem in the presence of clutter. The DOA estimation from objects behind walls is investigated utilizing the multiple signal classification (MUSIC) algorithm compensated by Extended Kalman Particle Filtering (EKPF) technique for the first time. Simulation results show that the stand-alone MUSIC algorithm fails to identify two distinct objects having close DOAs and fails to track targets when they are moving close to each other. The results also reveal that the EKPF algorithm in conjunction with MIMO nulling technique correctly identifies close and overshadowed moving objects and improves the tracking success rate.

关键词： multiple signal classification

来源：评论

学校读者我要写书评

暂无评论

multiple signal classification (MUSIC) based Underwater Acoustic Localization Module (UALM) for AUV

Multiple Signal Classification (MUSIC) based Underwater Acou...

引用

2015 IEEE Underwater Technology (UT)

作者： Vivek, Radhakrishnan Vadakkepat, Prahlad Natl Univ Singapore Dept Elect & Comp Engn Singapore 117576 Singapore

ISBN: (纸本)9781479983018

Underwater acoustic source localization is important during disaster-rescue missions ranging from rescuing survivors to recovering acoustically-tagged artifacts such as black box. Designing acoustic localization capabilities reliably and efficiently is challenging. Underwater acoustic localization module (UALM) utilizing multiple signal classification (MUSIC) is implemented on an autonomous underwater vehicle (AUV). A state-machine based application program interface (API) is utilized on the AUV operating on robot operating system (ROS). An array of four pre-calibrated hydrophones is utilized for geometry-dependent MUSIC computation. A modular localization approach improved UALM's responsiveness.

关键词： Autonomous underwater vehicles multiple signal classification Underwater Application programming interfaces Acoustics BLACK-BOX Position measurement

来源：评论

学校读者我要写书评

暂无评论

multiple signal classification Method of EMF-Based Speed and Position Estimation for Surface PMSM Sensorless Drives 27

Multiple Signal Classification Method of EMF-Based Speed and...

引用

27th International Conference on Electrical Machines and Systems, ICEMS 2024

作者： Yin, Jiasheng Liu, Jinglin Lu, Zhiman School of Automation Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9784886864406

A speed and position estimation method based on multiple signal classification is proposed, which avoid the influence of harmonic components and sliding-mode chattering problem by decomposing the noise and the back electromotive force fundamental component. By utilizing the orthogonality between noise and fundamental wave, the covariance matrix of the signal matrix is subjected to spectral decomposition, resulting in eigenvectors corresponding to noise and fundamental component, respectively. The eigenvectors contain the variation of electrical angle between adjacent sampling points, which can be used to calculate the velocity information with low noise. Then, the electrical angle obtained from the tangent function using the velocity is corrected. Finally, an improved method is proposed to reduce the computational complexity and improve real-time performance. © 2024 The Institute of Electrical Engineers of Japan.

关键词： multiple signal classification

来源：评论

学校读者我要写书评

暂无评论

An Improved multiple signal classification for Nonuniform Sampling in Blade Tip Timing

引用

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2020年第10期69卷 7941-7952页

作者： Wang, Zengkun Yang, Zhibo Wu, Shuming Li, Haoqi Tian, Shaohua Chen, Xuefeng Xi An Jiao Tong Univ State Key Lab Mfg & Syst Engn Xian 710049 Peoples R China

Blade tip timing (BTT) is an effective noncontact measurement technology for rotating blade health monitoring. However, due to the mismatching between the high-speed rotation and the limited amount of probes, the signal collected from the BTT system is severely undersampled, which induces the difficulty in feature extraction. multiple signal classification (MUSIC) has the potential to overcome the undersampled problem once the probes are properly placed. Whereas, if traditional MUSIC is directly used in BTT, the accuracy of frequency identification cannot be high enough and the identified number of frequency components is also severely restrained. To address these two problems, an improved MUSIC is proposed as an alternative methodology to extract the blade vibration frequency for BTT. Based on the orthogonality of the signal subspace and the noise subspace from undersampled signal, the presented method can effectively identify the vibration frequency components from the undersampled signal of BTT.

关键词： Blades Probes multiple signal classification Vibrations Engines Layout Monitoring Blade tip timing (BTT) condition monitoring multiple signal classification (MUSIC) nonuniform sampling undersampled signal

来源：评论

学校读者我要写书评

暂无评论

A Two-Dimensional Plum-Blossom Sensor Array-Based multiple signal classification Method for Impact Localization in Composite Structures

引用

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING 2016年第8期31卷 633-643页

作者： Zhong, Yongteng Xiang, Jiawei Wenzhou Univ Coll Mech & Elect Engn Wenzhou Peoples R China

The growing use of composite materials on aircraft structures has attracted much attention for the impact monitoring as a kind of structural health monitoring method. Uniform linear sensor array (ULSA)-based multiple signal classification (MUSIC) technology is a promising method because of its directional scanning ability and easy arrangement of the sensor array. However, the monitoring range of ULSA-based MUSIC method is 0 degrees-180 degrees, and its beamforming properties degrade at angles close to 0 degrees and 180 degrees. Besides, the ULSA-based MUSIC methods proposed require the knowledge of the direction dependent velocity profile obtained by additional experiments. This article presents a novel two-dimensional (2-D) plum-blossom sensor array (PBSA)-based MUSIC method. First, the velocity propagating at the specific direction is estimated by impact signal itself using PBSA directly. Second, 2-D PBSA-based MUSIC method well realizes omnidirectional 0 degrees-360 degrees impact localization of composite structures. Experimental results show its successful performance on epoxy laminate plate and complex composite structure.

关键词： SENSOR arrays multiple signal classification COMPOSITE structures COMPOSITE materials AIRFRAMES STRUCTURAL health monitoring

来源：评论

学校读者我要写书评

暂无评论

Transmitter beamforming and weighted image fusion-based multiple signal classification algorithm for corrosion monitoring

引用

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL 2019年第2期18卷 621-634页

作者： Bao, Qiao Yuan, Shenfang Guo, Fangyu Qiu, Lei Nanjing Univ Aeronaut & Astronaut State Key Lab Mech & Control Mech Struct Res Ctr Struct Hlth Monitoring & Prognosis 29 Yudao St Nanjing 210016 Jiangsu Peoples R China

With the increase in aging aircrafts, corrosion monitoring has attracted much attention in the structural health monitoring area. multiple signal classification has been gradually applied to structural health monitoring area as a new promising method because of its ability of directional scanning and the potential to monitor multiple signal sources. However, applying multiple signal classification algorithm to monitor real damage still faces some challenges. First, the scattered Lamb waves obtained using a single actuator is relatively weak, making the signal-to-noise ratio of the scattered signals low and resulting in the low precision of multiple signal classification-based monitoring. Second, linear sensor array-based structural health monitoring methods have the problem of blind area at the angles close to 0 degrees and 180 degrees. To meet these challenges and target at providing monitoring ability of both the position and severity of the damage, a novel transmitter beamforming and weighted image fusion-based multiple signal classification algorithm is proposed using a dual array that consists of two linear sensor arrays to enhance the amplitude of scattered Lamb waves from corrosion, improve its signal-to-noise ratio and eliminate the blind area. The corrosion severity can be evaluated by analyzing the largest eigenvalue of signal covariance matrix developed using the multiple signal classification algorithm. The proposed transmitter beamforming and weighted image fusion-based multiple signal classification algorithm is verified on aluminum plates with real corrosion damages at five stages. Experimental results show that the proposed method can realize corrosion monitoring with a good precision even at the blind monitoring area.

关键词： Structural health monitoring multiple signal classification corrosion monitoring transmitter beamforming weighted image fusion

来源：评论

学校读者我要写书评

暂无评论

Multi-Source DoA Estimation of EM Waves Impinging Spherical Antenna Array With Unknown Mutual Coupling Using Relative signal Pressure Based multiple signal classification Approach

引用

IEEE ACCESS 2022年 10卷 103793-103805页

作者： Famoriji, Oluwole John Shongwe, Thokozani Univ Johannesburg Dept Elect & Elect Engn Technol ZA-2006 Johannesburg South Africa

Spherical antenna array (SAA) is a configuration that scans almost all the radiation sphere with constant directivity. It finds applications in spacecraft and satellite communication. multiple signal classification (MUSIC) is a widely used multiple source direction-of-arrival (DoA) estimation method because of its low complexity implementation in practical applications. Conversely, it is susceptible to noise, which consequently affects its accuracy of localization. In this paper, MUSIC-based methods that operate at low signal-to-noise ratio (SNR) are developed via relative electromagnetic (EM) wave pressure measurements of a SAA. The proposed methods are the relative pressure MUSIC (RP-MUSIC), and in spherical domain (SH-RP-MUSIC). The developed SH-RP-MUSIC algorithm is in spherical domain thereby allows frequency-smoothing approach for the de-correlation of the coherent source signals towards an enhanced accuracy of localization. Both RP-MUSIC and SH-RP-MUSIC algorithms developed have the ability to estimate the number of active sources that is a priori knowledge of the conventional MUSIC algorithm. Numerical experiments were used to demonstrate the adequacy of the developed algorithms. In addition, measured data from experiment, which is the practically acceptable way to examine any procedure is employed to demonstrate the merits of the developed algorithms against the conventional MUSIC algorithm and other recent multiple source localization method in literature. Finally, in order to achieve DoA estimations with adequate localization accuracy at low SNR using SAA, SH-RP-MUSIC algorithm is a better choice.

关键词： Antenna arrays Location awareness multiple signal classification Estimation Direction-of-arrival estimation signal processing algorithms signal to noise ratio DoA estimation SAA MUSIC multiple source localization relative signal pressure estimation of number of source

来源：评论

学校读者我要写书评

暂无评论

Practical applications of multiple signal classification

引用

INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING 2012年第3期22卷 359-369页

作者： Agarwal, Krishna Pan, Li Leong, Yew Kong Han, Marcus Chan, On Yu Chen, Xudong Yeo, Swee Ping Natl Univ Singapore Dept Elect & Comp Engn Singapore 117548 Singapore Singapore Technol Engn Ltd ST Dynam Pte Ltd Singapore Singapore

Two examples demonstrating the practical utility of multiple signal classification (MUSIC) in the imaging of small objects using inverse scattering formulations are presented in this article. For the first application (of interest to construction engineers), the task is to detect the presence of steel bars and empty ducts embedded within reinforced concrete;the results demonstrate that reinforcement bars of various sizes and empty ducts can be readily detected using MUSIC even in the presence of significant measurement noise. For the second application (of interest to oncologists treating breast cancer), the ultra-wideband variation of MUSIC has been developed for the noninvasive imaging of malignant tissues that are very small in size;the results indicate that it may assist in the early detection of very small malignant tumors even in the midst of fatty tissues. (C) 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2012.

关键词： multiple signal classification nondestructive testing noninvasive imaging

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：