Performance Optimization in Frequency Estimation of Noisy Signals: Ds-IpDTFT Estimator.
Sensors (Basel)
; 23(17)2023 Aug 28.
Article
en En
| MEDLINE
| ID: mdl-37687916
ABSTRACT
This research presents a comprehensive study of the dichotomous search iterative parabolic discrete time Fourier transform (Ds-IpDTFT) estimator, a novel approach for fine frequency estimation in noisy exponential signals. The proposed estimator leverages a dichotomous search process before iterative interpolation estimation, which significantly reduces computational complexity while maintaining high estimation accuracy. An in-depth exploration of the relationship between the optimal parameter p and the unknown parameter δ forms the backbone of the methodology. Through extensive simulations and real-world experiments, the Ds-IpDTFT estimator exhibits superior performance relative to other established estimators, demonstrating robustness in noisy conditions and stability across varying frequencies. This efficient and accurate estimation method is a significant contribution to the field of signal processing and offers promising potential for practical applications.
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Banco de datos:
MEDLINE
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En
Revista:
Sensors (Basel)
Año:
2023
Tipo del documento:
Article
País de afiliación:
China