Title :
Anti-Noise Performance and Parameter Estimation Accuracy of FFT and FT Discrete Spectrum Correction
Author :
Ding, Kang ; Zhu, Wenying ; Yang, Zhijian ; Li, Weihua
Author_Institution :
Sch. of Mech. & Automotive Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
The parameters estimation accuracy of continuous zoom FFT spectrum by Fourier transform under noiseless and Gaussian white noise is investigated. The relationship between parameters estimation errors and zoom multiples is revealed in the presence of noise-free signal. The probability of finding wrong maximum spectral line is increased with the rise of zoom multiples when the signal is accompanied with Gaussian white noise. Considering the influence of frequency resolution on frequency estimation accuracy and the probability mentioned above, two new indicators are proposed to evaluate the estimation accuracy. Based on above analysis, optimal zoom multiples under different signal-to-noise ratios are presented and a method is proposed to improve accuracy of this method. The results of simulations demonstrate that the improved method has higher correction accuracy and better anti-noise performance.
Keywords :
Gaussian noise; fast Fourier transforms; frequency estimation; signal processing; white noise; FT discrete spectrum correction; Fourier transform; Gaussian white noise; antinoise performance; continuous zoom FFT spectrum; frequency resolution; noise-free signal; parameter estimation; signal-to-noise ratio; Automotive engineering; Fourier transforms; Frequency estimation; Noise level; Parameter estimation; Phase noise; Signal resolution; Signal to noise ratio; Time domain analysis; White noise;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5303531