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ieee sensorS LETTERS 2024年第10期8卷 1页

作者： Zheng, Qinglu Wang, Youyuan Zhang, Zhanxi Chongqing Univ Sch Elect Engn Chongqing Peoples R China Southern Power Grid Elect Vehicle Serv Co Ltd Shenzhen Peoples R China

The normal operation of electrical equipment is related to the stability of the power system. The dry-type transformer, as an important part of the distribution network, directly guarantees that users can use high-quality electricity. At present, most of the fault diagnosis of dry-type transformers is limited to the detection and maintenance of power outages, and there are few studies on nondestructive testing of power outages. In this letter, the operation state of the dry-type transformer is judged by the small-sample acoustic array signal, and the highly correlated intrinsic mode components are extracted by empirical mode decomposition (EMD);the highly correlated intrinsic mode components are further denoised by combining the adaptive wavelet basis transform. Then, the Hilbert transform is used to fuse the multichannel signals to form the original eigentensor. The principal component analysis is used to reduce the dimensionality of the original eigentensor to reduce the feature information surplus. The improved residual network is used to classify different features of dry-type transformers. It is verified that the proposed method has a high accuracy of 97.8% under the premise of small-sample datasets, which is better than that of the same type of detection method and has good robustness.

关键词： Acoustics Transformers Acoustic arrays Tensors Training Feature extraction Circuit faults sensor signal processing classification deep learning fault diagnosis sensor signal processing small samples

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Parallel deflation with alphabet-based criteria for blind source extraction

Parallel deflation with alphabet-based criteria for blind so...

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ieee/SP workshop on Statistical signal processing (SSP)

作者： L. Rota V. Zarzoso P. Comon Laboratoire I3S UNSA/CNRS Sophia-Antipolis France Department of Electrical Engineering & Electronics University of Liverpool Liverpool UK

Blind source extraction aims at estimating the source signals which appear mixed at the output of a sensor array. A novel approach to blind source extraction is presented in this contribution, which exploits the discrete character (finite alphabet property) of digital modulations in the case where sources with different alphabet exist. An alphabet polynomial fitting (APF) criterion matched to the specific signal constellation is employed to extract, through deflation, the sources with the same modulation. Using the appropriate APF criteria, the sources with different modulations can be extracted in parallel. This new concept, referred to as parallel deflation, presents the potential of reducing both the signal estimation errors that typically accumulate in the conventional deflationary approach and the spatio-temporal diversity required for a satisfactory source extraction. In addition, APF criteria can be optimized through a cost-effective optimal step-size technique that can escape local extrema

关键词： MIMO Polynomials sensor arrays Vectors Blind equalizers signal processing Digital modulation Constellation diagram Estimation Spatiotemporal phenomena

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Live Demonstration: A CMOS ASIC for Precise Reading of a Magnetoresistive sensor array for NDT

Live Demonstration: A CMOS ASIC for Precise Reading of a Mag...

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ieee International Symposium on Circuits and Systems

作者： Diogo M. CAETANO Moises PIEDADE Joao GRACA Jorge FERNANDES Luis ROSADO Tiago COSTA INESC-ID Rua Alves Redol 9 1000-029 Lisboa Portugal Instituto Superior Tecnico Universidade de Lisboa Rua Alves Redol 9 1000-029 Lisboa Portugal

ISBN: (纸本)9781479983926

Non-destructive testing (NDT) based on eddy currents (EC) is commonly used to detect defects in conductive materials. Usually the system includes an emitter coil, and one receiver coil or one Magnetoresistive (MR) sensor. In this work we added an interface ASIC that pre-amplifies and filters the signal from an array of MR sensors. This demo will present a new version based on the work presented at the ECNDT 2014 conference with a paper entitled "A CMOS ASIC for Precise Reading of a Magnetoresistive sensor array for NDT". Since this is an on-going work, improvements have been made, namely the reduction of the system thermal noise to 30 nV/√Hz, the development of a multigain amplifier and the application of the same concept and circuit to a multichannel parallel signal acquisition system. Detection of surface and buried defects will be demonstrated in different material mock-ups.

关键词： signal processing eddy current testing (ECT) NDT-wide ASIC CMOS Magnetoresistive sensor array

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Robust Adaptive Minimum Entropy Beamformer in Impulsive Noise

Robust Adaptive Minimum Entropy Beamformer in Impulsive Nois...

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ieee workshop on Machine Learning for signal processing

作者： Seungju Han Kyu-Hwa Jeong Jose Principe Computational Neuro Engineering Laboratory (CNEL) Electrical and Computer Engineering Department University of Florida Gainesville FL USA Computational NeuroEngineering Laboratory (CNEL) Electrical and Computer Engineering Department University of Florida Gainesville FL USA

This paper considers the problem of adaptive beamforming in α-stable (non-Gaussian) noise using the constrained minimum output entropy (MOE) based algorithm. Following the same rational that lead to the least mean p-norm (LMP), the weight update adjustment for minimum output entropy is constrained by statistics higher than second order. Also, the MOE algorithm is very robust to impulsive noise due to its M-estimator property derived from the fact that MOE constrains the output entropy. We explain these results analytically, and through simulations.

关键词： Noise robustness Entropy Additive white noise Gaussian noise array signal processing Radar antennas sensor arrays Antenna arrays Radar applications Radar imaging

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A simple angular transmit diversity scheme using a single RF frontend for PSK modulation schemes

A simple angular transmit diversity scheme using a single RF...

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ieee workshop on signal processing Advances in Wireless Communications (SPAWC)

作者： Osama N. Alrabadi Antonis Kalis Constantinos B. Papadias Athens Information Technology Center Greece

A Simple angular transmit diversity scheme based on switching between a pair of weakly-correlated beam patterns at one end of the wireless link (the wireless handheld terminal) in an outdoor macro-cellular radio channel is proposed. The diversity scheme is employed using a simple switched parasitic array (SPA) with a single transceiver, and an array area of 0.0625 square wavelengths. The scheme which requires no channel state information (CSI) at the transmitter, provides mainly a diversity gain to combat against multipath fading. The performance/capacity of the proposed diversity scheme is compared (through simulations) to its counterpart spatial transmit diversity scheme under the same channel conditions.

关键词： Radio frequency Phase shift keying Diversity reception Antenna arrays Switches Fading Mutual coupling sensor arrays Information technology Transceivers

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On the design and performance of TDBC-based bi-directional network beamforming

On the design and performance of TDBC-based bi-directional n...

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ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Mohammad Zaeri-Amirani Shahram Shahbazpanahi Min Dong Faculty of Engineering and Applied Science University of Ontario Institute of Technology (UOIT) Canada

We study and compare the performance of two bi-directional relay network beamforming schemes, namely time division broadcast channel (TDBC) strategy and multiple access broadcast channel (MABC) strategy, under joint optimal power control and beamforming design. Under the presence of a direct link between the two transceivers, we first design the optimal TDBC-based bi-directional network beamformer to minimize the total power consumption in the network subject to quality of service (QoS) constraints. We obtain the optimal second-order cone programming based solution as well as fast gradient-based solution to this optimization problem. With this result, we then numerically compare the beamforming performance of the TDBC approach to that of the MABC approach developed in [1]. We show that the TDBC approach can outperform the MABC approach, under the same rate constraint, provided that the direct link is strong enough.

关键词： Transceivers Relays array signal processing Vectors signal to noise ratio Bidirectional control

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Broadband array design in a broad sense

Broadband array design in a broad sense

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Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： Qingsheng Zeng D. O'Shaughnessy Communications Rcscarch Centre Ottawa ONT Canada INRS-Telecommunications Montreal QUE Canada

On the basis of our previous investigations, we present our methodology of broadband array design in a general sense, viz., the design of an array with both a frequency-invariant pattern and frequency-invariant gain at the same time along with less sensitivity to errors. We use a linear symmetric space-tapered array with frequency-dependent sensor weights that are obtained through a design procedure based on the Legendre transformation technique and maintain a desirable beam pattern within a specified frequency range. Then, based on the design of an array with frequency-invariant gain, we determine the frequency-dependent constraint parameter values that maintain desirable array gain over the same specified frequency range. Moreover, we illustrate the feasibility of the design procedure through the superposition of the gain values at the design and intermediate frequencies and the superposition of the white noise gain values at the design and intermediate frequencies.

关键词： Frequency sensor arrays White noise array signal processing signal design signal detection Interference Filtering Telecommunication computing Maintenance engineering

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Recent advances in joint wireless energy and information transfer

Recent advances in joint wireless energy and information tra...

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ieee (first ITW conference of the year) Information Theory workshop (ITW)

作者： Suzhi Bi Chin Keong Ho Rui Zhang ECE Department National University of Singapore Singapore Agency for Science Technology and Research Singapore SG A-STAR Institute for Infocomm Research Singapore

In this paper, we provide an overview of the recent advances in microwave-enabled wireless energy transfer (WET) technologies and their applications in wireless communications. Specifically, we divide our discussions into three parts. First, we introduce the state-of-the-art WET technologies and the signal processing techniques to maximize the energy transfer efficiency. Then, we discuss an interesting paradigm named simultaneous wireless information and power transfer (SWIPT), where energy and information are jointly transmitted using the same radio waveform. At last, we review the recent progress in wireless powered communication networks (WPCN), where wireless devices communicate using the power harvested by means of WET. Extensions and future directions are also discussed in each of these areas.

关键词： Wireless communication Receivers array signal processing Energy exchange Wireless sensor networks Transmitters MIMO

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array processing with known waveform and steering vector but unknown diagonal noise covariance matrix

Array processing with known waveform and steering vector but...

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ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Adithya M. Devraj Chris Gianelli Jian Li Department of Electrical and Computer Engineering University of Florida Gainesville FL USA

The problem of estimating the complex amplitude of a signal which is known only to an unknown scaling factor with noise present is a well studied problem. Maximum likelihood (ML) and Capon estimates of the complex amplitude in the case where the noise vectors are circularly symmetric complex Gaussian with an unknown arbitrary covariance matrix have been proposed in previous literatures in closed form. In this paper, we consider the special case of the covariance matrix being diagonal (whose entries are still unknown). We reduce the ML estimation problem in this case to a non-linear optimization problem, and the optimal solution to the amplitude which maximizes the likelihood function can be obtained. We compare the performance of this method against the previously proposed method, which does not assume any structure of the covariance matrix. We show that the performance in the case wherein we use the fact that the covariance matrix is diagonal is only better in situations where the number of data samples is small. Both of the methods have the same Cramer-Rao bound (CRB), and both of them are asymptotically optimal. For large number of measurements, the mean squared errors (MSE) of both methods approach the CRB. Lastly, we provide an approximate ML solution to the problem, which has performance almost the same as the optimal solution, but computationally much more efficient.

关键词： Covariance matrices Maximum likelihood estimation Closed-form solutions Optimization signal to noise ratio Mathematical model Conferences

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Time domain blind source separation of non-stationary convolved signals by utilizing geometric beamforming

Time domain blind source separation of non-stationary convol...

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ieee workshop on Neural Networks for signal processing

作者： R. Aichner S. Araki S. Makino T. Nishikawa H. Saruwatari NTT Communication Science Laboratories NTT Corporation Kyoto Japan University of Applied Sciences Regensburg Germany Telecommunications Laboratory University of Erlangen Nuremberg Germany Nara Institute of Science and Technology Ikoma Japan

We propose a time-domain blind source separation (BSS) algorithm that utilizes geometric information such as sensor positions and assumed locations of sources. The algorithm tackles the problem of convolved mixtures by explicitly exploiting the non-stationarity of the acoustic sources. The learning rule is based on second-order statistics and is derived by natural gradient minimization. The proposed initialization of the algorithm is based on the null beamforming principle. This method leads to improved separation performance, and the algorithm is able to estimate long unmixing FIR filters in the time domain due to the geometric initialization. We also propose a post-filtering method for dewhitening which is based on the scaling technique in frequency-domain BSS. The validity of the proposed method is shown by computer simulations. Our experimental results confirm that the algorithm is capable of separating real-world speech mixtures and can be applied to short learning data sets down to a few seconds. Our results also confirm that the proposed dewhitening post-filtering method maintains the spectral content of the original speech in the separated output.

关键词： Blind source separation Source separation Finite impulse response filter Speech Frequency domain analysis array signal processing Acoustic sensors Laboratories Time domain analysis Statistics

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