Parameter estimation method for multiple quadratic frequency-modulated signals

Generalised cubic phase function (GCPF)-based estimator is efficient in estimating the third-order coefficient for mono-component quadratic frequency-modulated (QFM) signal. However, it suffers from cross-terms and spurious peaks when dealing with multi-component QFM signals. To efficiently estimate the third-order coefficients of multi-component QFM, a novel coherently integrated GCPF (CIGCPF) algorithm is proposed to enhance the auto-terms and suppress the cross-terms and spurious peaks. Comparisons with state-of-the-art algorithms indicate that CIGCPF not only solves the identification problem for multi-component QFM signals, but also can acquire higher anti-noise performance.