scholarly journals A Novel Adaptive Frequency Estimation Algorithm Based on Interpolation FFT and Improved Adaptive Notch Filter

2017 ◽  
Vol 17 (1) ◽  
pp. 48-52 ◽  
Author(s):  
Ting-ao Shen ◽  
Hua-nan Li ◽  
Qi-xin Zhang ◽  
Ming Li
Keyword(s):  
Convergence Rate ◽  
High Frequency ◽  
Frequency Estimation ◽  
Notch Filter ◽  
Estimation Algorithm ◽  
Signal Frequency ◽  
Tracking Accuracy ◽  
Frequency Tracking ◽  
Adaptive Notch Filter ◽  
Fast Estimation

Abstract The convergence rate and the continuous tracking precision are two main problems of the existing adaptive notch filter (ANF) for frequency tracking. To solve the problems, the frequency is detected by interpolation FFT at first, which aims to overcome the convergence rate of the ANF. Then, referring to the idea of negative feedback, an evaluation factor is designed to monitor the ANF parameters and realize continuously high frequency tracking accuracy. According to the principle, a novel adaptive frequency estimation algorithm based on interpolation FFT and improved ANF is put forward. Its basic idea, specific measures and implementation steps are described in detail. The proposed algorithm obtains a fast estimation of the signal frequency, higher accuracy and better universality qualities. Simulation results verified the superiority and validity of the proposed algorithm when compared with original algorithms.

Minimal adaptive notch filter for respiratory frequency tracking

2003 ◽  
Author(s):  
E.G. Caiani ◽  
A. Porta ◽  
M. Terrani ◽  
S. Guzzetti ◽  
A. Malliani ◽  
...  
Keyword(s):  
Notch Filter ◽  
Respiratory Frequency ◽  
Frequency Tracking ◽  
Adaptive Notch Filter

ADAPTIVE FREQUENCY ESTIMATION WITH LOW SAMPLING RATES BASED ON ROBUST CHINESE REMAINDER THEOREM AND IIR NOTCH FILTER

2009 ◽  
Vol 01 (04) ◽  
pp. 587-600
Author(s):  
HONG LIANG ◽  
XIAOWEI LI ◽  
XIANG-GEN XIA
Keyword(s):  
Chinese Remainder Theorem ◽  
Frequency Estimation ◽  
Notch Filter ◽  
Estimation Algorithm ◽  
Nonstationary Signals ◽  
Simulation Results ◽  
Sinusoidal Signals ◽  
Present Simulation

In this paper, based on an adaptive IIR notch filter and a robust Chinese remainder theorem (CRT), we propose an adaptive frequency estimation algorithm from multiple undersampled sinusoidal signals. Our proposed algorithm can significantly reduce the sampling rates and provide more accurate estimates than the method based on adaptive IIR notch filter and sampling rates above the Nyquist rates does. We then present simulation results to verify the performance of our proposed algorithm for both stationary and nonstationary signals.

scholarly journals Harmonic Frequency Estimation Algorithm based on ESPRIT and MSWF in Power System

2015 ◽  
Vol 9 (1) ◽  
pp. 518-523 ◽  
Author(s):  
Sun Xiangwen ◽  
Cao Zhe ◽  
Tian Wei
Keyword(s):  
Power System ◽  
Simulation Experiment ◽  
Frequency Estimation ◽  
Wiener Filter ◽  
Estimation Algorithm ◽  
Frequency Resolution ◽  
Harmonic Frequency ◽  
Fast Estimation ◽  
Multistage Wiener Filter ◽  
Esprit Algorithm

This paper points out the deficiency in the current harmonic frequency estimation algorithm in power system. In order to improve the accuracy of detection and reduce the computational complexity, the study combined the ESPRIT algorithm with multistage Wiener filter (MSWF) recurrence to achieve fast estimation of harmonic frequency. Theoretical analysis and simulation experiment show that the algorithm had relatively low requirement for the amount of data, and demonstrated good frequency resolution characteristics and anti-jamming capability, which made it ideally suitable for harmonic analysis in power system.

Unbiased constrained adaptive IIR notch filter using direct frequency estimation algorithm

2007 ◽  
Author(s):  
R. Punchalard ◽  
A. Lorsawatsiri ◽  
W. Loetwassana ◽  
J. Koseeyaporn ◽  
P. Wardkein ◽  
...  
Keyword(s):  
Frequency Estimation ◽  
Notch Filter ◽  
Estimation Algorithm
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