Random sample consensus algorithm for the hyperbolic frequency modulated signals parameters estimation.

The random sample consensus algorithm has been successfully employed for the estimation of parameters in polynomial phase signals. It significantly reduces the signal-to-noise ratio threshold by 3 dB compared to current state-of-the-art algorithms. In this paper, we have developed a random sample consensus algorithm-based estimator for hyperbolic frequency modulated signals parameters. Our proposed parameter and instantaneous frequency estimator demonstrate exceptional accuracy, surpassing existing estimators by achieving the signal-to-noise ratio threshold improvement of up to 7 dB. Furthermore, we have examined the limits of applicability of our proposed approach, particularly in terms of computational complexity. • The RANSAC algorithm is applied to the HFM signals parameter estimation. • The algorithm setup in both fine and rough stage is considered in details. • Calculation complexity analysis is provided. • Simulations are performed on aliased signal. [ABSTRACT FROM AUTHOR]