Quad-quaternion music for DOA estimation using electromagnetic vector sensors

  • Authors:
  • Xiaofeng Gong;Zhiwen Liu;Yougen Xu

  • Affiliations:
  • Department of Electronic Engineering, Beijing Institute of Technology, Beijing, China;Department of Electronic Engineering, Beijing Institute of Technology, Beijing, China;Department of Electronic Engineering, Beijing Institute of Technology, Beijing, China

  • Venue:
  • EURASIP Journal on Advances in Signal Processing
  • Year:
  • 2008

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Abstract

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.