DocumentCode :
2620064
Title :
An instantaneous frequency estimation method based on the improved sliding pair-wise ICI rule
Author :
Lerga, Jonatan ; Sucic, Victor
Author_Institution :
Dept. of Autom. & Electron., Univ. of Rijeka, Rijeka, Croatia
fYear :
2010
fDate :
10-13 May 2010
Firstpage :
161
Lastpage :
164
Abstract :
The performance of the recently proposed modification of the sliding pair-wise intersection of confidence intervals (SPICI) method for the instantaneous frequency (IF) estimation, based on the pseudo Wigner-Ville distribution (PWVD) with an adaptive window width, is analyzed on a noisy monocomponent nonlinear frequency modulated (FM) signal. The modified SPICI method is an extension of the original SPICI method with an additional threshold criterion combined with the amount of overlap between the current and the previous confidence interval relative to the current interval length. When compared to its original version, the modified SPICI approach results in up to 39% improvement in the IF estimation accuracy in terms of the mean absolute error (MAE), and up to 72% improvement in terms of the mean squared error (MSE).
Keywords :
Wigner distribution; adaptive signal processing; frequency estimation; frequency modulation; mean square error methods; MAE; MSE; adaptive signal processing; adaptive window width; improved sliding pair-wise ICI rule; instantaneous frequency estimation method; mean absolute error; mean squared error; modified SPICI method; noisy monocomponent nonlinear frequency modulated signal analysis; pseudo Wigner-Ville distribution; sliding pair-wise intersection of confidence interval method; threshold criterion; Adaptive signal processing; adaptive estimation; time-frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7165-2
Type :
conf
DOI :
10.1109/ISSPA.2010.5605552
Filename :
5605552
Link To Document :
بازگشت