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- Title
Performance Optimization in Frequency Estimation of Noisy Signals: Ds-IpDTFT Estimator.
- Authors
Wei, Miaomiao; Zhu, Yongsheng; Sun, Jun; Lu, Xiangyang; Mu, Xiaomin; Xu, Juncai
- 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.
- Subjects
SIGNAL frequency estimation; COMPUTATIONAL complexity; SIGNAL processing; DISCRETE Fourier transforms
- Publication
Sensors (14248220), 2023, Vol 23, Issue 17, p7461
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s23177461