Title of Paper:BNC-based projection approximation subspace tracking under impulsive noise

Hits:

Date of Publication:2017-07-01

Journal:IET RADAR SONAR AND NAVIGATION

Included Journals:SCIE

Volume:11

Issue:7

Page Number:1055-1061

ISSN No.:1751-8784

Abstract:Covariance, one of the most widely accepted mathematical tool for similarity measurement relies heavily on the assumption of Gaussian distribution noise model. Along with many other second-order statistics based methods, its performance deteriorates significantly in the presence of impulsive noise. Therefore, in this study, a generalised covariance function named bounded non-linear covariance (BNC) is put forward to handle relative problems in the presence of noise with non-Gaussian and heavy-tailed distribution. Meanwhile, the projection approximation subspace tracking-like algorithm based on BNC is proposed as well. Simulations have verified its performances over existing methods, especially the robustness to impulsive noise.