THE ELEVENTH IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (IEEE SAM2020)

78 / 2019-12-13 10:24:00

Augmented Quaternion MUSIC Method for a Uniform/Sparse COLD Array

IEEE SAM 2020: Special Sessions > Sparse Array Configuration for Improved Spectrum Estimation and Its Applications

The quaternion multiple signal classification (Q-MUSIC) algorithm reduce the dimension of covariance matrix, which would result in performance degrading of DOA estimation. An augmented quaternion MUSIC algorithm (AQ-MUSIC) based on concentered orthogonal loop and dipole (COLD) array is presented in this paper. The proposed algorithm uses an augmented quaternion formalism to model the completely polarized signals, which allows a concise and novel way to an augmented covariance matrix. The fact reveals that the more accurate DOA parameters could be extracted from an augmented covariance matrix. Even compared with the long vector MUSIC (LV-MUSIC) algorithm whose dimension of covariance matrix is the same as AQ-MUSIC, the accuracy of DOA parameter estimation also is improved. Simulation results verify the performance promotion of the proposed approach.