Sedenions: algebra and analysis
Applied Mathematics and Computation
Uniqueness study of measurements obtainable with arrays ofelectromagnetic vector sensors
IEEE Transactions on Signal Processing
Identifiability in array processing models with vector-sensorapplications
IEEE Transactions on Signal Processing
ESPRIT-based 2-D direction finding with a sparse uniform array ofelectromagnetic vector sensors
IEEE Transactions on Signal Processing
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
IEEE Transactions on Signal Processing
Linear independence of steering vectors of an electromagneticvector sensor
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
Quadratic Forms and Space-Time Block Codes From Generalized Quaternion and Biquaternion Algebras
IEEE Transactions on Information Theory
Biquaternion cumulant-MUSIC for DOA estimation of noncircular signals
Signal Processing
Hi-index | 0.00 |
A new quad-quaternion model is herein established for an electromagnetic vector-sensor array, under which a multidimensional algebra-based direction-of-arrival (DOA) estimation algorithm, termed as quad-quaternion MUSIC (QQ-MUSIC), is proposed. This method provides DOA estimation (decoupled from polarization) by exploiting the orthogonality of the newly defined "quadquaternion" signal and noise subspaces. Due to the stronger constraints that quad-quaternion orthogonality imposes on quadquaternion vectors, QQ-MUSIC is shown to offer high robustness to model errors, and thus is very competent in practice. Simulation results have validated the proposed method.