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共 963 条记录，以下是391-400 订阅

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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...

引用

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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On the Feasibility of Wireless Energy Transfer Using Massive Antenna arrays in Rician Channels 16

On the Feasibility of Wireless Energy Transfer Using Massive...

引用

16th International workshop on signal processing Advances in Wireless Communications (SPAWC)

作者： Kashyap, Salil Bjornson, Emil Larsson, Erik G. Linkoping Univ Dept Elect Engn ISY S-58183 Linkoping Sweden

ISBN: (纸本)9781479919314

In this paper, we examine the feasibility of wireless energy transfer (WET) using arrays with multiple antennas. Specifically, we compute the probability of outage in energy transfer over a Rician fading channel when the base station (BS) with multiple antennas transfers energy to a wireless sensor node (WSN). Through our analytical and numerical results, we prove that by deploying more antennas at the BS, the range of WET can be increased while maintaining a target outage probability. We observe that the use of massive antenna arrays at the BS results into huge savings of radiated energy. We show that for typical energy levels used in WET, the outage performance with imperfect channel state information (CSI) is essentially the same as that obtained based on perfect CSI. We also observe that a strong line-of-sight component between the BS and the WSN lowers the probability of outage in energy transfer.

关键词： Wireless energy transfer massive MIMO beamforming outage probability array gain

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array processing with Known Waveform and Steering Vector but Unknown Diagonal Noise Covariance Matrix 6

Array Processing with Known Waveform and Steering Vector but...

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ieee 6th International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Devraj, Adithya M. Gianelli, Chris Li, Jian Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA

ISBN: (纸本)9781479919635

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： Maximum likelihood asymptotic analysis parameter estimation CRB

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Ultrasonic array Imaging for Immersion Non-Destructive Testing

Ultrasonic Array Imaging for Immersion Non-Destructive Testi...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Moallemi, Nasim Shahbazpanahi, Shahram Univ Ontario Inst Technol Fac Engn & Appl Sci Oshawa ON Canada

ISBN: (纸本)9781479914814

One of the applications of advanced array signal processing is immersion ultrasonic non-destructive testing (NDT), where a solid test sample and an array of transducers are immersed in water, for the purpose of imaging the test sample. To do so, the knowledge of the shape of the upper surface of the test sample is needed. We model the interface between water and the solid as an incoherently spatially distributed reflector. We then develop a covariance fitting based approach to estimate the parameters of the shape of the upper surface of the test sample. With the knowledge of the estimated shape of this surface, we use the same approach to estimate the parameters of the shape of a crack inside the test sample. Numerical simulations are conducted to show the accuracy of the proposed approach.

关键词： test sample ultrasonic arrays Nondestructive Testing array signal processing Transducers

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Detection in Analog sensor Networks with a Large Scale Antenna Fusion Center

Detection in Analog Sensor Networks with a Large Scale Anten...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Jiang, Feng Chen, Jie Swindlehurst, A. Lee Univ Calif Irvine Ctr Pervas Commun & Comp Irvine CA 92697 USA

ISBN: (纸本)9781479914814

We consider the distributed detection of a zero-mean Gaussian signal in an analog wireless sensor network with a fusion center (FC) configured with a large number of antennas. The transmission gains of the sensor nodes are optimized by minimizing the ratio of the log probability of detection (PD) and log probability of false alarm (PFA). We show that the problem is convex with respect to the squared norm of the transmission gains, and that a closed-form solution can be found using the Karush-Kuhn-Tucker conditions. Our results indicate that a constant PD can be maintained with decreasing sensor transmit gain provided that the number of antennas increases at the same rate. This is contrasted with the case of a single-antenna FC, where PD is monotonically decreasing with transmit gain. On the other hand, we show that when the transmit power is high, the single-and multi-antenna FC both asymptotically achieve the same PD upper bound.

关键词： Distributed detection Analog sensor networks Neyman-Pearson criterion Massive MIMO

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Improving the Projection Method for TOA Source Localization in the Presence of sensor Position Errors

Improving the Projection Method for TOA Source Localization ...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Li, Jinzhou Ho, K. C. Guo, Fucheng Jiang, Wenli Natl Univ Def Technol Sch Elect Sci & Engn Changsha 410073 Hunan Peoples R China Univ Missouri ECE Dept Columbia MO 65211 USA

ISBN: (纸本)9781479914814

This paper develops a closed-form solution that improves the projection matrix method for time of arrival (TOA) source localization in the presence of sensor position inaccuracy. The projection approach is attractive because it does not require the use of an extra variable as in the traditional closed-form solution. Compared with the previous projection method, the proposed algorithm offers a closed-form solution and at the same time attains the Cramer-Rao lower bound (CRLB) performance for Gaussian noise over the small noise region. The performance of the proposed method is validated by simulations.

关键词： Time of arrival

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Performance Analysis of Time frequency Subspace based Direction Finding algorithms in presence of perturbed array manifold

Performance Analysis of Time frequency Subspace based Direct...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Belouchrani, Adel Khodja, Mohamed Ecole Natl Polytech Dept Elect Engn Algiers Algeria

ISBN: (纸本)9781479914814

Conventional subspace based direction finding approaches such as MUSIC and ESPRIT algorithms commonly use the array data covariance matrix. In non stationary context, the use of the Spatial Time-Frequency Distribution (STFD) instead of the covariance matrix can significantly improve the performance of such algorithms. In this paper we are interested in the performance analysis of such approaches in the presence of both additive noise and perturbed array manifold. An unified expression of the Direction Of Arrival (DOA) error estimation is derived for both approaches. The obtained results show that for low signal to Noise Ratio (SNR) and high signal to sensor Perturbation Ratio (SPR) the STFD based DOA estimations perform better, while for high SNR and for the same SPR both Covariance and STFD based approaches have similar performance.

关键词： direction finding variance covariance matrix low SNR Direction of arrival estimation high SNR Subspace Multiple signal classification Additive noise Manifolds Covariance United States Department of Agriculture based Covariance matrix

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Direction of Arrival Estimation of Wideband signals using Sub-Nyquist Samples

Direction of Arrival Estimation of Wideband Signals using Su...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Chaturvedi, Amal Fan, H. Howard Univ Cincinnati Dept Elect Engn & Comp Syst Cincinnati OH 45220 USA

ISBN: (纸本)9781479914814

This work is dedicated towards finding the Direction of Arrival (DOA) of Wideband signals using Sub-Nyquist samples. In a sensor array, the time delay between two sensors depends on the position of sources and thus its estimate could be used in finding the DOA of the sources. In this paper, we propose to estimate the time delay among sensors using cross-correlation of the signals received at the sensor array. The wider the bandwidth of the signal, the sharper will be the peak of its autocorrelation. Thus, it would be safe to assume that the autocorrelation of a wideband signal is sparse. The number of sharp peaks in the autocorrelation will be the same as the number of uncorrelated sources. The strength of Compressive Sampling (CS) lies in solving an underdetermined problem with a very high probability, provided the solution is sparse. This fits our wideband DOA problem very well, and is used to estimate the autocorrelation and hence the DOA of the signals with sub-Nyquist sampling. Simulations are given to support this concept.

关键词： broadband signal Direction of arrival estimation Autocorrelation signals United States Department of Agriculture time delay sensors broadband sensor arrays Cross correlation

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Direction of Arrival Estimation of Harmonic signal Using Single Moving sensor

Direction of Arrival Estimation of Harmonic Signal Using Sin...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Hioka, Yusuke Kishida, Masako Univ Canterbury Dept Elect & Comp Engn Christchurch 8140 New Zealand

ISBN: (纸本)9781479914814

A signal processing algorithm for estimating the direction of arrival of a harmonic signal using only a single sensor is proposed. The method is based on the recently invented architecture called CAROUSEL, which makes use of the Doppler effect caused by observing signals using the sensor in a circular motion. The proposed method estimates the direction of arrival from the amount of phase shift of a harmonic component caused by the Doppler effect. Simulation using various harmonic signals including synthesised speech phonemes prove the proposed algorithm is able to accurately estimate the direction of arrival of the harmonic signals.

关键词： DOA estimation sensor array harmonics speech CAROUSEL

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Deterministic Blind Identification in Antenna array processing

Deterministic Blind Identification in Antenna Array Processi...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Sahnoun, Souleymen Comon, Pierre CNRS UMR5216 GIPSA Lab F-38402 St Martin Dheres France

ISBN: (纸本)9781479914814

The estimation of directions of arrival is formulated as the decomposition of a 3-way array into a sum of rank-one terms. However, a low-rank tensor approximation does not always exist. We propose an optimization technique based on differentiable angular constraints on the factors, ensuring the existence of the low-rank tensor decomposition. The efficiency of the proposed algorithm is demonstrated via numerical simulations, and compared to Cramer-Rao bounds.

关键词： array processing Antenna arrays decomposition Blind Tensor deterministic Differentiable

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