Estimation of the signal component from random equivalent and non-coherent sampling measurements

Authors

  • Dusan Agrez University of Ljubljana, Faculty of Electrical Engineering

DOI:

https://doi.org/10.21014/acta_imeko.v6i4.474

Abstract

Estimations of the signal component parameters in the case of random equivalent time sampling and under non-coherent sampling condition comprise two main error contributions: spectral leakage effect due to non-coherency and additional noise due to the randomization of sampling intervals. In the estimation procedure the non-parametric interpolated DFT approach has to be used first to estimate the component frequency and, after that, an iterative 4-parametric sine-fit algorithm should be used for other component parameters (amplitude and phase). Their estimations are possible when the duty ratio of random samples from the total samples in the non-coherent measurement interval is above 0.1. With these duty ratios of random samples it is possible to achieve error levels of 0.001 bins of the frequency estimations in relation to the estimation on full ensemble of points.

Author Biography

Dusan Agrez, University of Ljubljana, Faculty of Electrical Engineering

Department of Measurement and Robotics

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Published

2017-12-28

Issue

Vol. 6 No. 4 (2017)

Section

Research Papers

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