A procedure for the detection of multivariate outliers
Computational Statistics & Data Analysis
A comparative analysis of multiple outlier detection procedures in the linear regression model
Computational Statistics & Data Analysis
Digital Signal Processing in Communication Systems
Digital Signal Processing in Communication Systems
Numerical Recipes in C: The Art of Scientific Computing
Numerical Recipes in C: The Art of Scientific Computing
Robust multiuser detection in non-Gaussian channels
IEEE Transactions on Signal Processing
Maximum likelihood localization of sources in noise modeled as astable process
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
New nonlinear algorithms for narrowband interference suppression in CDMA spread-spectrum systems
IEEE Journal on Selected Areas in Communications
Analysis of the consecutive mean excision algorithms
Journal of Electrical and Computer Engineering
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Impulses that exist in the nature or are artificial may severely decrease the performance of any radio system including communication and interception receivers and radars. This paper investigates impulse detection in receivers that can have either a single antenna or an antenna array. The proposed detector uses either a backward or forward outlier search strategy and assumes zero mean signals and spatially and temporally white background noise. Signal need not to be weak, i.e., signal-to-noise ratio may be large and the methods still works. The backward method uses all the data in an initial step whereas the forward method uses smaller; (hopefully) clean set in an initial step. The forward method is expected to perform better. Simulations confirm this expectation. Indeed, the used forward method can detect outliers even if their contamination exceeds 90% of all the samples.