Results 231 to 240 of about 26,154 (258)
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Optimization of beam patterns for acoustic array sensors
Sensors and Actuators A: Physical, 1994Abstract Acoustic sensors comprising beam-forming and electronic scanning equipment typically use a cylindrical multi-element transducer. When received signals are added without any delays, a wide-beam sensor is obtained. Unfortunately, the shape of the beam and the level of the side lobes is often far from satisfactory.
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Large-Scale Optimal Sensor Array Management for Multitarget Tracking
IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2007In this paper, we are concerned with the problem of utilizing a large network of sensors in order to track multiple targets. Large-scale sensor array management has applications in a number of target tracking domains. For example, in ground target tracking, hundreds or even thousands of unattended ground sensors may be dropped over a large surveillance
Ratnasingham Tharmarasa +2 more
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Optimization of adaptive linear sensor node array in Wireless Sensor Network
2009 Asia Pacific Microwave Conference, 2009This paper presents a method of optimizing sensor node coordination in order to reassign the nodes in linear array arrangement to form a linear antenna array. This linear sensor node array (LSNA) is constructed within random sensor node deployment.
Nik Noordini Nik Abd Malik +2 more
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COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, 2009
PurposeThe purpose of this paper is to improve the accuracy of innovative current transducers based on magnetic sensor arrays.Design/methodology/approachThe positions and the orientations of the magnetic sensors are optimized. The objective function is defined according to D‐optimality theory and the optimization problem solved using particle swarm ...
DI RIENZO, LUCA, ZHANG, ZICHI
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PurposeThe purpose of this paper is to improve the accuracy of innovative current transducers based on magnetic sensor arrays.Design/methodology/approachThe positions and the orientations of the magnetic sensors are optimized. The objective function is defined according to D‐optimality theory and the optimization problem solved using particle swarm ...
DI RIENZO, LUCA, ZHANG, ZICHI
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About estimation of optimal number of sensors in sensor array system based on PARAFAC decomposition
2012 8th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2012Identification of multiple sources in sensor array system can be accomplished by a powerful multilinear algebra model, PARAFAC (parallel factor) decomposition. To guarantee the accuracy of the identification of close sources (the smallest angle difference is 1°) by PARAFAC algorithm, increasing the number of sensors is a solution.
Liu, Xuefeng +2 more
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Design and optimization of nanogap array sensors
2008We present a percolation based model which is suitable for the design of sensors based on highly ordered nanogap arrays. Monte-Carlo simulations and analytical expressions are used to calculate the sensitivity and dynamic range as a function of the topology and geometry of the arrays, as well as the statistical distribution of the thresholds for ...
Kiefer, Thomas +2 more
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Greedy Optimization of Sensor Array Geometry for Magnetocardiographic Source Localization
IEEE Transactions on Biomedical EngineeringUntil recently, magnetocardiography (MCG) studies were performed using SQUID systems, consisting of a planar array of sensors with uniform spacing. The introduction of optically-pumped magnetometers (OPMs) now enables the deployment of large, conformal arrays, in which the sensors can be mounted on a wearable vest at nearly any location.
Barry D. Van Veen +2 more
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An Interpretable Sensor Selection Strategy for Array Optimization and Performance Enhancement
ACS SensorsAs more sensors are integrated into electronic nose (E-nose) systems to enhance gas detection accuracy, multitasking capabilities, and expand application scenarios, several challenges arise. These challenges include issues such as cross-sensitivity, increased hardware cost, heightened computational complexity, and information redundancy, due to the ...
Haixia Mei +4 more
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