Generalised cubic phase function (gcpf)-basedestimator is efficient in estimating the third-order coefficient for mono-component quadratic frequency-modulated (QFM) signal. However, it suffers from cross-terms and sp...
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Generalised cubic phase function (gcpf)-basedestimator 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.
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