Vector-sensor MUSIC for polarized seismic sources localization
EURASIP Journal on Applied Signal Processing
Blind PARAFAC signal detection for polarization sensitive array
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Signal Processing
Vector-sensor array processing for electromagnetic sourcelocalization
IEEE Transactions on Signal Processing
Source localization using vector sensor array in a multipath environment
IEEE Transactions on Signal Processing
MUSIC Algorithm for Vector-Sensors Array Using Biquaternions
IEEE Transactions on Signal Processing
Quaternion-MUSIC for vector-sensor array processing
IEEE Transactions on Signal Processing
Spatial polarimetric time-frequency distributions for direction-of-arrival estimations
IEEE Transactions on Signal Processing
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A new tensorial model is herein established for a special multi-invariant array of identically oriented ideal electromagnetic (EM) vector-sensors composed of small loops and/or short dipoles, under which a multilinear algebra based direction-of-arrival (DOA) estimation algorithm is proposed. The method provides DOA estimates (decoupled from polarization) by performing a twofold mode-projection which relies on the dual mode orthogonality of the newly defined 'tensor' signal-subspace and twofold mode noise-subspaces. The method can simultaneously exploit the polarization diversity and multi-invariance data structure of an EM vector-sensor array in a compact tensorial fashion, and is very competent for DOA estimation in a multipath environment. Simulation results are provided to illustrate the performance of the proposed method.