DocumentCode
818733
Title
A cumulant based TK method for the harmonic retrieval problem
Author
Shi, Z. ; Fairman, F.
Author_Institution
Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada
Volume
139
Issue
3
fYear
1992
fDate
6/1/1992 12:00:00 AM
Firstpage
221
Lastpage
225
Abstract
The Tufts-Kumaresan (TK) method is well known as one of the best solutions to the harmonic retrieval problem. The fourth-order cumulant operator is used to modify the TK method. It is shown that, after applying the fourth-order cumulant operator to the observed signal, the form of the model of the harmonic retrieval problem still holds for the transformed data (cumulants of the observed signal). Therefore, the TK method is directly applicable to this new model for frequency estimation. The advantage of using the fourth-order cumulant operator is that the transformed data is insensitive to Gaussian noise (white or coloured), resulting in an effective increase of SNR. However, this is achieved at the expense of more computations. Computer simulation shows the effectiveness of this method
Keywords
filtering and prediction theory; harmonic analysis; signal processing; Gaussian noise; SNR; TK method; Tufts-Kumaresan method; coloured noise; computer simulation; fourth-order cumulant operator; frequency estimation; harmonic retrieval; observed signal; transformed data; white noise;
fLanguage
English
Journal_Title
Radar and Signal Processing, IEE Proceedings F
Publisher
iet
ISSN
0956-375X
Type
jour
Filename
143312
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