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Resolving aliasing effect in the QML estimation of PPSs

2016; Institute of Electrical and Electronics Engineers; Volume: 52; Issue: 3 Linguagem: Inglês

10.1109/taes.2016.150383

2371-9877

Igor Djurović, Marko Simeunović,

Machine Fault Diagnosis Techniques

The quasimaximum likelihood (QML) estimator of polynomial-phase signals (PPSs) is based on the maximization of the short-time Fourier transform and suffers from aliasing when signals are sampled below the Nyquist sampling rate. In this paper, a phase unwrapping procedure has been proposed as an additional step in the QML to estimate parameters of such signals. Statistical study has shown excellent performance of the proposed approach.