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论文类型： 期刊论文

发表时间： 2017-07-01

发表刊物： IET RADAR SONAR AND NAVIGATION

收录刊物： SCIE

卷号： 11

期号： 7

页面范围： 1055-1061

ISSN号： 1751-8784

摘要： 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.