A comparative analysis of multiple outlier detection procedures in the linear regression model
Computational Statistics & Data Analysis
Impulse detection and rejection methods for radio systems
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
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The backward and forward consecutive mean excision (CME/FCME) algorithms are diagnostic methods for outlier (signal) detection. Since they are computationally simple, they have applications for both narrowband signal detection in cognitive radios and interference suppression. In this paper, a theoretical performance analysis framework of the CME algorithms is presented. The analysis provides simple tests of the detectability of the signals based on their shape in the considered domain (e.g., spectrum). As a consequence, results can be used to quickly check whether the CME/FCME algorithms are usable for a given problem or not without the need to resort to time consuming computer simulations. The computer simulations for random and orthogonal frequency division multiplexing (OFDM) signals show that the presented analysis is able to predict the detectability of signals well.