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Optimal analysis for sensor-target geometries of linear sensor arrays in UWSN

2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2017
Considering that the bearing measurement noise is distance-dependent in UWSN, this paper studies the sensortarget geometries optimization of linear sensor arrays and presents the optimal localization via noisy bearing measurements. As for the three constrained scenarios of linear sensor arrays, we analyze the optimal sensor-target geometries in terms ...
Pengwei Li, Shilian Wang, Eryang Zhang
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Vector sensors and vector sensor line arrays: Comments on optimal array gain and detection

The Journal of the Acoustical Society of America, 2006
This paper examines array gain and detection performance of single vector sensors and vector sensor line arrays, with focus on the impact of nonacoustic self noise and finite spatial coherence of the noise between the vector sensor components. Analytical results based on maximizing the directivity index show that the particle motion channels should ...
Gerald L. D’Spain   +3 more
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Optimal detection with vector sensors and vector sensor line arrays

The Journal of the Acoustical Society of America, 2006
The detection performance of single vector sensors and vector sensor line arrays is degraded by nonacoustic self-noise and spatial coherence of the noise between vector sensor components. Results based on optimizing the directivity index for a single vector sensor show that the particle motion channels should always be included in the processing for ...
Gerald L. D’Spain   +3 more
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Optimization of sensor arrays for beam position estimation

Sensors and Actuators A: Physical, 2000
A design procedure is presented to optimize linear arrays of sensors for the estimation of the position of an incident beam. The procedure is based on the adjustment of the position and gain of the elements of the array in order to approximate the desired response (in the least squares sense).
P.A. Sorichetti   +2 more
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Optimal dimension reduction for sensor array signal processing

[1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers, 1993
The computational complexity for direction-of-arrival estimation using sensor arrays increases very rapidly with the number of sensors in the array. One way to lower the amount of computations is to employ some kind of reduction of the data dimension. This is usually accomplished by employing linear transformations for mapping full dimension data into ...
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The behavior of absolutely optimal array filters for sensor arrays in the presence of noise

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
A recent paper [1] described a set of array filters referred to as absolutely optimal array filters (AOAF's) to achieve the rejection of an interference from the output of an array in order to allow observation of the signal. The array filters resulted in perfect rejection of the interference while achieving an all-pass response to the signal ...
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Optimization of monolithic charged-particle sensor arrays

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2007
Abstract Direct-detection CMOS image sensors optimized for charged-particle imaging applications, such as electron microscopy and particle physics, have been designed, fabricated and characterized. These devices directly image charged particles without reliance on image-degrading hybrid technologies such as the use of scintillating materials.
Stuart Kleinfelder   +2 more
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Optimal Adaptive Control of an Array of Passive Sensors

IEEE Transactions on Aerospace and Electronic Systems, 1975
A sensor array is treated as a spatial filter in rejecting undesired signals. The array is governed by a control law derived from the noise covariance matrix supplied by the time-varying noise field in an optimal fashion. Signal-to-noise ratio is used as the optimality criterion. The optimal control law is self-adjusted by a simple adaptive scheme. The
C. Lau, C. Leondes
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Optimization of Augmented Coprime Array for a Specific number of Sensors

2021 2nd International Conference on Range Technology (ICORT), 2021
In this paper, optimization is carried out for the augmented coprime array (ACA) for a specific number of sensors to achieve maximum consecutive degrees-of-freedom (DOF). We know that ACA is a very popular configuration for direction-of-arrival (DOA) estimation for its advantage of less mutual coupling.
Rajen Kumar Patra, Anindya Sundar Dhar
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Optimal partially adaptive sensor array processing

IEEE Antennas and Propagation Society International Symposium. 1995 Digest, 2002
The problem addressed in this paper is minimum variance adaptive sensor array processing subject to limitations on the dimension of the adaptive processor. Advances in technology have made it possible for space-segment and airborne platforms to support arrays composed of many elements for communications and radar systems.
J.S. Goldstein, D.B. Williams
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