DocumentCode :
1655867
Title :
Polynomial phase demodulation in multitaper analysis
Author :
Thomson, David J.
Author_Institution :
Queen´´s Univ., Kingston, ON, Canada
fYear :
2009
Firstpage :
401
Lastpage :
404
Abstract :
This paper describes multitaper methods to estimate polynomial frequency modulation (FM) in low signal-to-noise environments. In the intended application, the frequency modulation occurs within the multitaper local bandwidth, the signal-to-noise ratio is low, and the raw data is non-Gaussian. This estimate uses the eigencoefficients as data and reconstructs the narrow band analytic signal and its time derivative from them. A set of polynomials, orthogonal with respect to inner products on the Slepian sequences, allows construction of a sequence of inverses with variable smoothness properties. These extend the standard multitaper F-test for line components to polynomial FM. With quadratic FM (cubic phase) the performance approaches the Cramer-Rao bound.
Keywords :
eigenvalues and eigenfunctions; frequency modulation; phase modulation; Cramer-Rao bound; Slepian sequences; eigencoefficients; multitaper analysis; polynomial frequency modulation; polynomial phase demodulation; signal-to-noise ratio; Bandwidth; Demodulation; Frequency estimation; Frequency modulation; Narrowband; Phase estimation; Polynomials; Signal analysis; Signal processing; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4244-2709-3
Electronic_ISBN :
978-1-4244-2711-6
Type :
conf
DOI :
10.1109/SSP.2009.5278553
Filename :
5278553
Link To Document :
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