Blind identification of digital communication signals based on statistics of directional data

Abstract

This paper presents a new clustering algorithm to solve the blind identification problem of digital communication signal modulation types. the algorithm utilized the instantaneous frequency and instantaneous phase of sampling circular statistical data as a training sample to extract classification feature based on the statistical theory of directional data… (More)
DOI: 10.1145/1509315.1509341

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