DocumentCode
3093396
Title
Hybrid FM-polynomial phase signal modeling: parameter estimation and performance analysis
Author
Gani, F. ; Giannakis, Georgios B.
Author_Institution
Dipt. dell´´Inf., Pisa Univ., Italy
fYear
1997
fDate
21-23 Jul 1997
Firstpage
93
Lastpage
97
Abstract
Parameter estimation for a combination of a polynomial phase signal (PPS) and a frequency modulated (FM) signal is addressed. A novel approach is proposed that allows one to decouple estimation of the FM parameters from that of the PPS parameters, exploiting the properties of the multi-lag high-order ambiguity function (ml-HAF). Performance analysis is carried out and Cramer-Rao bounds are compared with simulation results
Keywords
discrete time systems; frequency modulation; higher order statistics; parameter estimation; polynomials; signal processing; Cramer-Rao bounds; frequency modulated signal; hybrid FM-polynomial phase signal modeling; multi-lag high-order ambiguity function; parameter estimation; performance analysis; simulation; Additive noise; Analytical models; Frequency estimation; Frequency modulation; Health information management; Optical noise; Parameter estimation; Performance analysis; Phase modulation; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
Conference_Location
Banff, Alta.
Print_ISBN
0-8186-8005-9
Type
conf
DOI
10.1109/HOST.1997.613494
Filename
613494
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