DocumentCode
2291435
Title
Detection of Sinusoidal Signals in Frequency Domain
Author
Ahmed, Fathy M. ; Elbarbary, Khairy A. ; Elbardawiny, Abdel Rahman H.
Author_Institution
Mil. Tech. Coll., Cairo
fYear
2006
fDate
16-19 Oct. 2006
Firstpage
1
Lastpage
5
Abstract
Periodogram is a simple and efficient way to detect and estimate parameters of sinusoidal signals. In this paper, we evaluate the detection performance of the periodogram and its variants such as Bartlett, Welch methods, and a proposed Bartlett-based method. Performance evaluation through the receiver operating characteristics (ROCs) of the mentioned methods are presented and compared. Previous studies showed that, the standard periodogram used to give the best detection performance. In the present work, analytical derivation and simulation results showed that, the proposed method gives a better detection performance outperforming the standard periodogram at the expense of tolerable reduction of the frequency resolution
Keywords
frequency-domain analysis; parameter estimation; sensitivity analysis; signal detection; Bartlett-based method; ROC; frequency domain; parameter estimation; performance evaluation; periodogram; receiver operating characteristics; sinusoidal signal detection; Additive white noise; Analytical models; Detectors; Educational institutions; Frequency domain analysis; Frequency estimation; Performance analysis; Radar detection; Signal detection; Sonar detection; Bartlett; Detection; FFT; Periodogram;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, 2006. CIE '06. International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7803-9582-4
Electronic_ISBN
0-7803-9583-2
Type
conf
DOI
10.1109/ICR.2006.343208
Filename
4148314
Link To Document