Vector-Sensor Array Processing for Polarization Parameters and DOA Estimation

Paulus, Caroline; Mars, Jérôme

doi:10.1155/2010/850265

Cited by 11 publications

(13 citation statements)

References 37 publications

(50 reference statements)

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“…Note that a 3D MUSIC method has already been developed for multicomponent seismic signals [19]. The third multicomponent dimension does not correspond to the same issue, and the DOD estimation cannot be achieved.…”

Section: D-musicalmentioning

confidence: 99%

“…The programming platform integrates a function that only calculates the first M given elements of the EVD. Moreover, introducing the normal matrix T = X sH X s (K × K) and realizing an EVD on T = V V H , it can be shown [19] that the K eigenvalues of are the same as the K first eigenvalues of , and that v i = X s v i /λ i . As the EVD on a N × N matrix is O(N), the use of EVD on T will be preferred (with the condition: K < N s e N s r F s ).…”

Section: Computational Costmentioning

confidence: 99%

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Double-Capon and double-MUSICAL for arrival separation and observable estimation in an acoustic waveguide

Touzé

Nicolas

Mars

et al. 2012

EURASIP J. Adv. Signal Process.

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Recent developments in shallow water ocean acoustic tomography propose the use of an original configuration composed of two source-receiver vertical arrays and wideband sources. The recording space thus has three dimensions, with two spatial dimensions and the frequency dimension. Using this recording space, it is possible to build a three-dimensional (3D) estimation space that gives access to the three observables associated with the acoustic arrivals: the direction of departure, the direction of arrivals, and the time of arrival. The main interest of this 3D estimation space is its capability for the separation of acoustic arrivals that usually interfere in the recording space, due to multipath propagation. A 3D estimator called double beamforming has already been developed, although it has limited resolution. In this study, the new 3D high-resolution estimators of double Capon and double MUSICAL are proposed to achieve this task. The ocean acoustic tomography configuration allows a single recording realization to estimate the cross-spectral data matrix, which is necessary to build high-resolution estimators. 3D smoothing techniques are thus proposed to increase the rank of the matrix. The estimators developed are validated on real data recorded in an ultrasonic tank, and their detection performances are compared to existing 2D and 3D methods.

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Section: D-musicalmentioning

confidence: 99%

Section: Computational Costmentioning

confidence: 99%

Double-Capon and double-MUSICAL for arrival separation and observable estimation in an acoustic waveguide

Touzé

Nicolas

Mars

et al. 2012

EURASIP J. Adv. Signal Process.

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“…Usually, A(f o ) is a full rank matrix assuming that the array manifolds a ( , ) with different path directions are independent. MUltiple SIgnal Classification (MUSIC) [5] is an eigen structure subspace analysis method, that is widely used in geophysics, particularly to enhance the signal-to-noise ratio in order to estimate the direction of arrival of multiple waves impinging the array [7], [8]. To extend 1C-MUSIC to 3C, a data window for all components of 3C sensors array is selected, corresponding to the first arrival signal of LP event.…”

Section: Processing Approachmentioning

confidence: 99%

“…denote the mathematical expectation operator and H is the conjugate transpose. The cross-spectral matrixΓ can be writen as [7], [9], [10].…”

Section: Processing Approachmentioning

confidence: 99%

Localization with multicomponent seismic array

Inza

Mars

Métaxian

et al. 2011

2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

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Seismo-volcano source localization is essential to improve our understanding of volcano systems. The lack of clear seismic wave phases prohibits the use of classical location methods. Seismic antennas composed of one-component (1C) seismometers provide a good estimate of the back-azimuth of the waveeld. The depth estimation, on the other hand, is difcult or impossible to determine. In order to determine the source location parameters (back-azimuth and depth), we extend the 1C seismic antenna approach to 3Cs. This communication discusses a highresolution location method using a 3C array survey (3C-MUSIC algorithm) with data from two seismic antennas installed on an andesitic volcano in Peru (Ubinas volcano). After introducing the 3C MUSIC processing, we evaluate the robustness of the location method on a full waveeld 3D synthetic dataset generated using a digital elevation model of Ubinas volcano and an homogeneous velocity model. Results show that the back-azimuth determined using the 3C array has a smaller error than a 1C array. Only the 3C method allows the recovery of the source depths. Finally, we applied the 3C-MUSIC to two seismic events recorded in 2009. Therefore, extending 1C arrays to 3C arrays in volcano monitoring allows a more accurate determination of the source epicenter and now an estimate for the depth.

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“…Therefore, an EmVS can simultaneously measure the three components of the electric field and the three components of the magnetic field. Since its introduction into signal processing community [1,2], a significant number of research has been done on EmVS array processing [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. For application considerations, different types of EmVS containing part of the six sensors are devised and manufactured [3,20,21].…”

Section: Introductionmentioning

confidence: 99%

Computationally Efficient DOA and Polarization Estimation of Coherent Sources with Linear Electromagnetic Vector-Sensor Array

Liu

2011

EURASIP J. Adv. Signal Process.

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This paper studies the problem of direction finding and polarization estimation of coherent sources using a uniform linear electromagnetic vector-sensor (EmVS) array. A novel preprocessing algorithm based on EmVS subarray averaging (EVSA) is firstly proposed to decorrelate sources' coherency. Then, the proposed EVSA algorithm is combined with the propagator method (PM) to estimate the EmVS steering vector, and thus estimate the direction-of-arrival (DOA) and the polarization parameters by a vector cross-product operation. Compared with the existing estimate methods, the proposed EVSA-PM enables decorrelation of more coherent signals, joint estimation of the DOA and polarization of coherent sources with a lower computational complexity, and requires no limitation of the intervector sensor spacing within a half-wavelength to guarantee unique and unambiguous angle estimates. Also, the EVSA-PM can estimate these parameters by parameter-space searching techniques. Monte-Carlo simulations are presented to verify the efficacy of the proposed algorithm.

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Vector-Sensor Array Processing for Polarization Parameters and DOA Estimation

Cited by 11 publications

References 37 publications

Double-Capon and double-MUSICAL for arrival separation and observable estimation in an acoustic waveguide

Double-Capon and double-MUSICAL for arrival separation and observable estimation in an acoustic waveguide

Localization with multicomponent seismic array

Computationally Efficient DOA and Polarization Estimation of Coherent Sources with Linear Electromagnetic Vector-Sensor Array

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