316 / 2020-01-06 11:03:00
An Improved Orthogonal Beamforming in Multipole Source Localization
orthogonal beamforming; multipoles source localization; cross-spectrum; Eigenvalue decomposition
Draft Rejected
Ning Chu / Zhejiang University & Hangzhou, China
Qian Huang / Zhejiang University, China
Liang Yu / Shanghai Jiaotong University, China
This paper presents an improved multipole orthogonal beamforming to solve the source localization problem with coexisting multipoles. A proper Eigenvalue decomposition is performed on cross-spectrum matrix of microphone array measured signals. Through various simulations, proposed algorithm can eliminate dipole source directivity to get a more accurate localization result. With the CLEAN operation, the resolution of this algorithm has been enhanced evidently.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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