High accuracy frequency analysis using instantaneous frequency attractors

In this paper an improved version of the instantaneous frequency attractors (IFAs) algorithm is presented, by introducing several solutions which reduce the number of spurious components especially for low signal to noise ratios (SNRs) and increase the accuracy of the frequency estimator. We perform multilevel comparison tests with both previous versions of the IFA algorithm and another high precision frequency estimation method based on the derivative of the signal. The test results confirm the superiority of the IFAs' frequency accuracy, in different conditions: low SNRs, frequency distance between components, analysis frame length. Also, the number of spurious components is significantly reduced.