A Robust Instantaneous Frequency Rate Estimator Based on Cubic Phase Function

The cubic phase function (CPF) is an effective method to estimate instantaneous frequency rate (IFR) of frequency modulated signals, but it suffers from performance degradation in the presence of noise, higher-order phase (HP) and multi-component. In this paper, an IFR estimator based on summarizing the auto-terms of cubic phase function (CPF) is proposed to solve these problems. Simulation results indicate the proposed technique can not only provide a lower estimation signal-to-ratio threshold for single-component signal, but also a better rejection of cross-terms of multi-component than CPF, thus gives a higher performance of IFR estimation.