Parameter estimation of CFM signals based on MICPF-HAF

A novel algorithm for parameter estimation of cubic frequency modulated (CFM) signals, known as a modified integrated cubic phase function high-order ambiguity function (MICPF-HAF), is introduced. The MICPF-HAF demodulates CFM signals to quadratic FM (QFM) signals via phase differentiation, and then the MICPF is applied to realise the parameter estimation of QFM signals. The analyses and simulations show that the proposed MICPF-HAF achieves a great improvement in anti-noise performance in comparison with the HAF and the CPF-HAF-based methods.