A Local Search Maximum Likelihood Parameter Estimator of Chirp Signal

A Local Search Maximum Likelihood Parameter Estimator of Chirp Signal

A local search Maximum Likelihood (ML) parameter estimator for mono-component chirp signal in low Signal-to-Noise Ratio (SNR) conditions is proposed in this paper. The approach combines a deep learning denoising method with a two-step parameter estimator. The denoiser utilizes residual learning assi...

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Bibliographic Details
Main Authors: Guangli Ben, Xifeng Zheng, Yongcheng Wang, Ning Zhang, Xin Zhang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
chirp parameter estimation
signal denoising
time-frequency analysis
maximum likelihood
Online Access:https://www.mdpi.com/2076-3417/11/2/673

Internet

https://www.mdpi.com/2076-3417/11/2/673

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