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In this paper, we propose a refinement procedure for the estimation of polynomial-phase signal (PPS) parameters. The PPS parameters are estimated using a method based on the cubic-phase function (CPF), known to outperform the standard high-order ambiguity function (HAF) in terms of both the estimation accuracy and performance threshold. The method is referred to as the hybrid CPF-HAF (HCH). Since...
We consider fine parameter estimation of polynomial-phase signals (PPSs) using the cubic phase function (CPF). The CPF outperforms the high-order ambiguity function (HAF) both in the estimation accuracy and performance threshold. However, since the CPF cannot be calculated using the FFT, it is characterized by higher complexity than the HAF. The fine estimation is usually done through the time-consuming...
The problem of sinusoidal frequency estimation in heavy-tailed noise environment is addressed. A method based on the robust M-periodogram is proposed. Specifically, a suboptimal coarse frequency estimate provided by the robust M-periodogram is improved using the modified dichotomous search. Simulations that consider most common heavy-tailed noise models demonstrate that the proposed method outperforms...
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