Subspace algorithm based on MSWF in the presence of impulsive noise

  • Authors:
  • Linhong Yao;Hong Jiang;Ying Gao;Yu Shi

  • Affiliations:
  • Dept. Electronic Engineering, Aviation University of Air Force, Changchun, Jilin, China;College of Communication Engineering, JILIN University, Changchun, Jilin, China;Dept. Electronic Engineering, Aviation University of Air Force, Changchun, Jilin, China;Dept. Electronic Engineering, Aviation University of Air Force, Changchun, Jilin, China

  • Venue:
  • IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
  • Year:
  • 2011

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Abstract

An improved method for direction-of-arrival (DOA) estimation algorithm based on Multistage Wiener Filters (MSWF) in the presence of impulsive noise is proposed in this paper. There are many DOA estimation algorithms based on Multistage Wiener Filters, but all of them must satisfy the requirement of the noise is Gaussian white noise, which can not the accurately in the presence of impulsive noise. The improved method has good performance at DOA estimate when the noise is impulsive noise, and some computer simulations show it.