DocumentCode
582484
Title
Comparative analysis of frequency estimation methods
Author
Dan, Su ; Yaqing, Tu ; Ming, Li ; Jianyuan, Luo
Author_Institution
Dept. of Inf. Eng., Logistical Eng. Univ., Chongqing, China
fYear
2012
fDate
25-27 July 2012
Firstpage
5442
Lastpage
5447
Abstract
Frequency estimation as the key technique of signal processing is applied to almost all the engineering technology fields. According to the different frequency components of the signal, frequency estimation methods involving single frequency and intensive frequency are sorted. Frequency estimation methods of single frequency signal are divided into center of gravity method, phase difference method, amplitude ratio method, golden section method, triangle method and power spectral estimation method. Frequency estimation methods of intensive frequency signal are classified as chirp Z transform (CZT) method, zoom-FFT method, iteration, full phase method, improved ratio method, modern signal processing methods and information fusion method. The properties of each method have been given through analyzing these ideologies. Synthesized comparison two kinds of methods respectively, and then analytical tabulations have been put forward from the characteristics of real-time, anti-noise capability, universality, complexity, estimation accuracy and accuracy promotion space and so on. At last, the prospects of the future development for frequency estimation methods are discussed.
Keywords
fast Fourier transforms; iterative methods; sensor fusion; accuracy promotion space characteristics; amplitude ratio method; anti-noise capability; center-of-gravity method; chirp Z transform method; complexity characteristics; engineering technology field; estimation accuracy characteristics; fast Fourier transform; frequency estimation method; full phase method; golden section method; improved ratio method; information fusion method; intensive frequency; iteration; phase difference method; power spectral estimation method; signal frequency component; signal processing method; single frequency; triangle method; universality characteristics; zoom-FFT method; Accuracy; Estimation; Frequency estimation; Frequency modulation; Real-time systems; Signal processing algorithms; Transforms; accuracy; frequency estimation; intensive frequency; single frequency;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6390890
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