<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Based on enhanced interpolation DFT, a novel parameter estimation algorithm for the exponential signal is presented. The proposed two-step solution consists of a preprocessing unit which constructs a new signal sequence by continuously cycle shifting sample points and summing up N buffered exponential signal sample sequences, then an interpolation DFT engine to obtain accurate parameter estimation of the exponential signal based on the signal sequence generated by the preprocessing unit. Compared to previous works, owing to the combination of the pretreatment and the interpolation DFT analysis, the tedious iteration for spectral leakage elimination can be removed, and remarkable improvements are achieved in terms of estimation accuracy and speed. The simulation results verify the effectiveness of the proposed algorithm.</p></abstract>

Based on enhanced interpolation DFT, a novel parameter estimation algorithm for the exponential signal is presented. The proposed two-step solution consists of a preprocessing unit which constructs a new signal sequence by continuously cycle shifting sample points and summing up N buffered exponential signal sample sequences, then an interpolation DFT engine to obtain accurate parameter estimation of the exponential signal based on the signal sequence generated by the preprocessing unit. Compared to previous works, owing to the combination of the pretreatment and the interpolation DFT analysis, the tedious iteration for spectral leakage elimination can be removed, and remarkable improvements are achieved in terms of estimation accuracy and speed. The simulation results verify the effectiveness of the proposed algorithm.

Parameter Estimation Algorithm for the Exponential Signal by the Enhanced DFT Approach

School of aeronautics and astronautics, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi- Tech Zone, No.2006, 611731, Chengdu, China

Measurement Science Review

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Based on enhanced interpolation DFT, a novel parameter estimation algorithm for the exponential signal is presented. The proposed two-step solution consists of...

Parameter Estimation Algorithm for the Exponential Signal by the Enhanced DFT Approach

Publié en ligne: 17 juin 2014

Pages: 126 - 135

Reçu: 02 avr. 2014

Accepté: 11 juil. 2014

DOI: https://doi.org/10.2478/msr-2014-0017

Mots clés
Parameters estimation, exponential signal, cycle shift, discrete Fourier transform (DFT)

© by Qian Wang

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Parameter Estimation Algorithm for the Exponential Signal by the Enhanced DFT Approach

Publié en ligne: 17 juin 2014

Pages: 126 - 135

Reçu: 02 avr. 2014

Accepté: 11 juil. 2014

DOI: https://doi.org/10.2478/msr-2014-0017

Mots clésParameters estimation, exponential signal, cycle shift, discrete Fourier transform (DFT)

© by Qian Wang

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Mots clés
Parameters estimation, exponential signal, cycle shift, discrete Fourier transform (DFT)