scholarly journals Investigating Bias of DCFT, DPT and Promoted DPT Methods in terms of Phase Parameters Estimation of Chirp Signal

2021 ◽  
Vol 15 (3) ◽  
pp. 35-44
Author(s):  
Nooshin Rabiee ◽  
Hamid Aazad ◽  
Naser Parhizgar
Keyword(s):  
Parameters Estimation ◽  
Chirp Signal

Parameters Estimation and Waveform Reconstruction of Chirp Signal Based on FRFT

2014 ◽  
Vol 989-994 ◽  
pp. 3993-3996 ◽  
Author(s):  
Yan Jun Wu ◽  
Gang Fu ◽  
Fei Liu
Keyword(s):  
Fourier Transform ◽  
Fractional Fourier Transform ◽  
Signal Reconstruction ◽  
Parameters Estimation ◽  
The Other ◽  
Fourier Domain ◽  
Chirp Signal ◽  
The Fourier Transform ◽  
Definition Of ◽  
Noisy Background

The fractional Fourier transform (FRFT) is a generalization of the Fourier transform. The article first introduces the definition of FRFT transformation; then analyzed FRFT Chirp signal based on this humble proposed restoration Chirp signal in a noisy background in two ways: one is based on parameter estimation, and the other is based on the scores Fourier domain filtering to achieve signal reconstruction; Finally, simulation verify the feasibility of the above analysis.

Parameters estimation for chirp signal based on QPF-FRFT

Optik ◽  
2019 ◽  
Vol 182 ◽  
pp. 529-537
Author(s):  
Xuelian Liu ◽  
Jun Han ◽  
Chunyang Wang ◽  
Bo Xiao
Keyword(s):  
Parameters Estimation ◽  
Chirp Signal

Performance Analysis on Three Methods for Chirp Signal Parameters Estimation Based on FRFT

2014 ◽  
Vol 989-994 ◽  
pp. 3942-3945 ◽  
Author(s):  
Yan Jun Wu ◽  
Gang Fu ◽  
Peng Yu
Keyword(s):  
Fractional Fourier Transform ◽  
Operation Time ◽  
Parameters Estimation ◽  
Chirp Signal ◽  
Central Frequency ◽  
Signal Energy ◽  
Low Snr ◽  
Detection Algorithms ◽  
Modulation Rate ◽  
Searching Method

Chirp signal has been used widely in radar signals, and the Fractional Fourier transform is one of the most effective tools to analyze Chirp signal. In this paper, the concept of FRFT and the estimation theory of Chirp signal are introduced firstly. Then, we study three Chirp signal detection algorithms based on character of Chirp signal energy concentrated in a certain FRFT domain. Finally, in order to test the estimation abilities of the frequency modulation rate and the central frequency of FRFT to Chirp signal, and compare the operation time of parameters estimation under different SNR of the three algorithms, we simulate performance of the Three methods, and the final simulation results show that the three method have remarkable capabilities of detecting Chirp signal with low SNR. In contrast, the two-searching method doesn’t need planar search, consumedly reducing the computation cost at the same precision.

Automatic Parameters Estimation of the D. Klatt Phoneme Duration Model

Informatica ◽  
2016 ◽  
Vol 27 (3) ◽  
pp. 573-586
Author(s):  
Pijus Kasparaitis ◽  
Margarita Beniušė
Keyword(s):  
Parameters Estimation ◽  
Duration Model

Water Cycle Algorithm for Parameters Estimation of Solar Photovoltaic Model

2019 ◽  
Vol 7 (3) ◽  
pp. 117
Author(s):  
Abeer Shaban Omar ◽  
Hany M. Hasanien ◽  
Ahmed Al-Durra ◽  
Walid H. Abd El-Hameed
Keyword(s):  
Water Cycle ◽  
Parameters Estimation ◽  
Solar Photovoltaic ◽  
Water Cycle Algorithm
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