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ieee Information Theory workshop (ITW)

作者： Bi, Suzhi Ho, Chin Keong Zhang, Rui Natl Univ Singapore ECE Dept Singapore Singapore ASTAR Inst Infocomm Res Singapore Singapore

ISBN: (纸本)9781479959990

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： array signal processing Energy exchange MIMO Receivers Transmitters Wireless communication Wireless sensor networks energy exchange Energy transfer CARRIER SYSTEM array signal processing Transmitters Receivers Wireless sensor networks multiple input multiple output systems wireless Information Transfer wetting Energy sources wireless device

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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 (ISCAS)

作者： Caetano, Diogo M. Piedade, Moises Graca, Joao Fernandes, Jorge Rosado, Luis Costa, Tiago INESC ID Rua Alves Redol 9 P-1000029 Lisbon Portugal Univ Lisbon Inst Super Tecn P-1000029 Lisbon Portugal

ISBN: (纸本)9781479983919

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/root 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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A relationship between time-reversal imaging and maximum-likelihood scattering estimation

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ieee TRANSACTIONS ON signal processing 2007年第9期55卷 4707-4711页

作者： Shi, Gang Nehorai, Arye IEEE Division of Biostatistics Washington University School of Medicine Department of Electrical and Systems Engineering Washington University

Time-reversal methods have attracted increasing interest recently. The so-called computational time-reversal approach creates an image of the illuminated scene by computing the back-propagated field and is useful for detecting and estimating targets in the scene. In Shi and Nehorai ["Maximum Likelihood Estimation of Point Scatterers for Computational Time-Reversal Imaging," Communications in Information and Systems, vol. 5, no. 2, pp. 227-256, 20051], we estimated point scatterers by maximum-likelihood estimate (MLE) using the Born-approximated physical model, as well as the Foldy-Lax model. In this correspondence, we further find an explicit relationship between energy-based basic time-reversal imaging and the MLE approach: the time-reversal imaging function differs by only a scaling factor from the likelihood imaging function using the estimated scattering potential when a single-scatterer model is employed. Furthermore, this scaling factor is a function of the imaging position only. We show that, as a result, time-reversal imaging has a near-far problem that tends to produce a weaker image for areas further away from the imaging arrays, whereas the MLE-based image is more balanced. Experimental results confirm this conclusion.

关键词： maximum-likelihood estimate (MLE) multistatic near-far problem time-reversal imaging

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Fault Diagnosis Algorithm for Dry-Type Transformer Based on Deep Learning of Small-Sample Acoustic array signals

IEEE SENSORS LETTERS

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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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Practical implementation of a multisensor array receiver structure for wireless communications

Practical implementation of a multisensor array receiver str...

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1st ieee signal processing workshop on signal processing Advances in Wireless Communications (SPAWC 97)

作者： Mayrargue, S France Telecom CNET Issy-Moulineaux France

ISBN: (纸本)0780339444

Multi sensor receivers are now acknowledged as a useful tool in the context of radio mobile communication, as well for equalization as for jammer rejection [1,2,3]. Recall that due to multiple path propagation, art equalizer is needed whenever the propagation delays between paths are of the same order of magnitude than the symbol duration. Second, combatting jamming is the key to capacity improvement of a cellular network. Jamming can be caused by remote users in Other cells, or by same cell users in the context of SDMA (Spatial Division Multiple Access) [4,5]. A receiver structure performing both equalization and jammer rejection is therefore needed. Such optimal structures have already been described A practical implementation of such a receiver has been. presented in [II]. Though being suboptimal, it is simple, and robust. This paper gives a theoretical justification of the approach of[II]. Simulation results are presented.

关键词： Radio receivers

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Asymptotic performance of optimal gain-and-phase estimators of sensor arrays

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ieee TRANSACTIONS ON signal processing 2000年第12期48卷 3587-3590页

作者： Cheng, Q Hua, YB Stoica, P Univ Western Sydney Nepean Sch Elect Engn Kingswood NSW Australia Univ Melbourne Dept Elect Engn Parkville Vic 3052 Australia Uppsala Univ Syst & Control Grp Uppsala Sweden

For estimating angles of arrival, there are three well known algorithms: weighted noise subspace fitting (WNSF), unconditional maximum likelihood (UML), and conditional niaximum likelihood (CML). These algorithms can also be used for estimating/calibrating the gains-and-phases of sensor arrays, assuming the angles of arrival are known. We show that the WNSF algorithm with an optimal weight has the same statistical efficiency as the UML algorithm but more efficient than the CML algorithm. This conclusion was known for angles df arrival estimation and is now confirmed for gains-and-phases calibration. Computationally, the WNSF algorithm is shown to be more attractive than the other two as it can be implemented via a quadratic minimization procedure for arbitrarily shaped arrays.

关键词： array calibration maximum likelihood estimation

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An integrated systolic array design for video compression

An integrated systolic array design for video compression

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ieee International Conference on Acoustics, Speech, and signal processing

作者： Tai, PL Liu, CT Huang, SY Wang, JS Natl Tsing Hua Univ Dept Comp Sci Hsinchu 30043 Taiwan

ISBN: (纸本)0780370414

This paper presents an integrated systolic array design for implementing full-search block matching, 2-D discrete wavelet transform, and full-search vector quantization on the same VLSI architecture. The above three functions are prime essential but with large amount of computation in video compression. To meet real-time requirement, many systolic arrays are designed for individually performing each of them. In fact, these functions contain the similar computational procedure. The matrix-vector product forms of them are quite similar. In this paper, with carefully extracting the common computation component, an integrated systolic array design that can perform above three functions is presented. A utilization of 100% to 97% is achieved for executing full-search block matching and full-search vector quantization. When performing 2-D discrete wavelet transform, the utilization is about 32%. The proposed integrated architecture spends lower hardware cost and has a regular hardware structure. It befits the VLSI implementation for video compression.

关键词： Logic design

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Broadband Beamforming via Frequency Invariance Transformation and PARAFAC Decomposition 7

Broadband Beamforming via Frequency Invariance Transformatio...

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7th ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Miranda, Ricardo Kehrle da Costa, Joao Paulo C. L. Del Galdo, Giovanni Roemer, Florian Univ Brasilia Dept Elect Engn Lab Array Signal Proc Brasilia DF Brazil Tech Univ Ilmenau Inst Informat Technol Ilmenau Germany Fraunhofer Inst Integrated Circuits IIS Erlangen Germany

ISBN: (纸本)9781538612514

For the next generation communications, a high data-rate scenario is expected not only due to the increasing amount of mobile subscribers, but also due to the impact of technologies such as the Internet of Things (IoT), Vehicular Ad Hoc Networks (VANETs) and Virtual Reality (VR). One of the key technologies to allow for a better exploitation of the scarce spectrum is the incorporation of antenna arrays into communication devices. In that sense, beamforming is an array processing tool that provides spatial separation of multiple sources sharing the same spectrum band. In this work, we propose a framework composed of a bank of frequency invariant beamformers (FIB) and an adaptive parallel factor analysis (PARAFAC) decomposition instead of the state-of-the art independent component analysis (ICA). The original PARAFAC adaptation is modified for scenarios where the signals are time-correlated (non-white) and the a pseudo-inversion step is added for an increased accuracy. Our proposed framework outperforms the state-of-the-art methods in terms of accuracy and convergence.

关键词： Tensile stress array signal processing Correlation Delays Internet of Things Independent component analysis Bandwidth

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Experimental Direction Finding Results Using a Time-Multiplexed Co-array Approach 9

Experimental Direction Finding Results Using a Time-Multiple...

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9th ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Allmann, Clemens Springer, Jannik Oispuu, Marc Koch, Wolfgang Fraunhofer Inst Commun Informat Proc & Ergon FKIE Dept Sensor Data & Informat Fus Wachtberg Germany

ISBN: (纸本)9798350344523

This paper addresses the problem of multi-source direction finding with a system that employs fewer receiver channels than antenna elements. To verify previous theoretical work [1], an experimental sensor system was built up and used for measurements in an anechoic chamber. The system consists of a specifically arranged (co-)array antenna divided into a 6-element uniform circular prototype array coupled through a switch to one receiver channel, and two directly connected reference antenna elements. Experimental results show that time-multiplexed (switched) direction of arrival estimation with number of sources equal to the number of receiver channels is feasible. Therefore, co-array techniques are utilized at each switch position and the received signal covariance matrix of the prototype array is reconstructed by means of spatial smoothing. The combined switched co-array approach is compared to the standard time-multiplex method in the sense of direction finding and source identification capability. Furthermore, direction finding results of a full 8-channel receiver system with the same array antenna used to span the co-array geometry are presented and discussed.

关键词： antenna array switched element time-varying array co-array more sensors than receivers Direction Finding DOA estimation AOA coherent sources real measurements.

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Improved Direction-of-Arrival estimation using wavelet based denoising techniques

Improved Direction-of-Arrival estimation using wavelet based...

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14th ieee International workshop on Machine Learning for signal processing

作者： Sathish, R. Anand, G. V. EPFL Biomed Imaging Grp STI LIB ECUBLENS CH-1015 Lausanne Switzerland Indian Inst Sci Dept Elect Commun Engn Bangalore 560012 Karnataka India

In this paper, we explore the use of wavelet based denoising techniques to improve the Direction-of-Arrival (DOA) estimation performance of array processors at low SNR. Traditional single sensor wavelet denoising techniques are not suitable for this application since they fail to preserve the intersensor signal correlation. We propose two correlation preserving techniques for denoising multi-sensor signals: (1) the Temporal Wavelet array Denoising (TWAD) technique developed by Rao and Jones [ieee Trans. signal processing, vol. 48, pp. 1225-1234, 2000], and (2) a new Spatial Wavelet array Denoising (SWAD) technique. It is shown that SWAD offers the advantage of a significant reduction in computational complexity at the cost of a slight reduction in SNR gain. The denoised array data is used for DOA estimation by the MUSIC algorithm. Simulation results are presented for MUSIC (without denoising), TWAD-MUSIC, and SWAD-MUSIC, to illustrate the improvement in DOA estimation performance brought about by denoising.

关键词： Direction-of-Arrival (DOA) estimation Temporal Wavelet array Denoising (TWAD) Spatial Wavelet array Denoising (SWAD)

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