DocumentCode :
2888615
Title :
Computationally efficient estimation of sinusoidal frequency at low SNR
Author :
Umesh, S. ; Nelson, D.
Author_Institution :
Hunter Coll., City Univ. of New York, NY, USA
Volume :
5
fYear :
1996
fDate :
7-10 May 1996
Firstpage :
2797
Abstract :
We propose a computationally efficient method for estimation of frequency of a single complex sinusoid at low SNR. This method is motivated by the cross-power spectrum method of Nelson (1993) and the weighted phase averager (WPA) methods of Tretter (1985), Kay (1988), and Lovell et al. (1991). We demonstrate that by a simple preprocessing, we can extend the threshold SNR of the WPA significantly. Further, unlike the WPA, the proposed method can be easily extended for estimation of frequencies of multiple sinusoids that are well-separated in frequency. We also derive the variance of the proposed estimator and provide simulation results comparing the proposed method with the WPA
Keywords :
frequency estimation; signal processing; spectral analysis; computationally efficient estimation; cross-power spectrum method; low SNR; multiple sinusoids; preprocessing; simulation results; sinusoidal frequency estimation; threshold SNR; variance; weighted phase averager methods; Chromium; Educational institutions; Frequency estimation; Gaussian noise; Linear regression; Maximum likelihood estimation; Phase estimation; Radar applications; Radar signal processing; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1520-6149
Print_ISBN :
0-7803-3192-3
Type :
conf
DOI :
10.1109/ICASSP.1996.550134
Filename :
550134
Link To Document :
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