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Random sample consensus algorithm for the hyperbolic frequency modulated signals parameters estimation
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DOI：10.1016/j.sigpro.2024.109390.png)
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Abstract
En 中文
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 signalto-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.
Keywords:
Frequency modulated signal
Instantaneous frequency
RANSAC
Hyperbolic frequency modulation