DocumentCode
2311183
Title
Frequency estimation of multisection signals with same frequency and length based on spectrum correlation
Author
Shen, Yanlin ; Tu, Yaqing ; Xiao, Wei ; Su, Dan
Author_Institution
Dept. of Inf. Eng., Logistical Eng. Univ., Chongqing, China
fYear
2012
fDate
6-8 July 2012
Firstpage
4283
Lastpage
4286
Abstract
Aiming at multisection sinusoidal signals with the same frequency and length, a frequency estimation algorithm of multisection signals with the same frequency and length based on spectrum correlation is proposed. It can improve the frequency estimation precision of short-time sinusoidal signal under the condition of low SNR. Firstly, generate a spectrum zoom sequence and calculate the spectra of corresponding frequencies; Secondly, design a phase-difference compensating factor matrix to overcome phase discontinuity among different sections of signals, and generate a search-frequency array to modify unknown parameters in the phase-difference compensating factor matrix; Thirdly, adjust the spectrum zoom sequence corresponding to accumulation spectrum and calculate the accumulation spectrum; Finally, calculate spectrum correlation sequence with corrected power spectra and accumulation spectrum, and search the maxima of spectrum correlation sequence and then its corresponding frequency is the frequency estimation value. Simulated experiment results demonstrate that the proposed algorithm has better frequency estimation precision and noise immunity than existing methods, and significant theoretical and practical value.
Keywords
array signal processing; compensation; correlation theory; frequency estimation; matrix algebra; spectral analysis; accumulation spectrum; corrected power spectra; frequency estimation algorithm; frequency estimation precision; frequency estimation value; multisection sinusoidal signals; noise immunity; phase discontinuity; phase-difference compensating factor matrix; search-frequency array generation; short-time sinusoidal signal; spectrum correlation sequence calculation; spectrum correlation-based frequency; spectrum correlation-based length; spectrum zoom sequence; Correlation; Estimation; Frequency estimation; Signal processing algorithms; Signal to noise ratio; Spectral analysis; frequency estimation; multisection signals with the same frequency and length; spectrum correlation; spectrum zoom sequence;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6359199
Filename
6359199
Link To Document