DocumentCode
3168329
Title
Data-aided signal level and SNR estimators GMSK using linear receivers
Author
Rice, Michael ; Haddadin, Osama ; McIntire, William
Author_Institution
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
Volume
5
fYear
2004
fDate
20-24 June 2004
Firstpage
2704
Abstract
This paper describes data-aided signal level and noise variance estimators for GMSK using a linear receiver based on the Laurent AMP representation. The estimators are based on the maximum likelihood principle. The variances of these estimators are shown to satisfy the Cramer-Rao bound and hence are efficient estimators. Simulation results are included to confirm the performance of the estimators.
Keywords
maximum likelihood estimation; minimum shift keying; noise; receivers; signal representation; Cramer-Rao bound; Gaussian minimum shift keying; Laurent AMP representation; SNR estimators GMSK; data-aided signal level; linear receiver; maximum likelihood principle; noise variance estimators; signal-to-noise ratio; Bandwidth; Detectors; Frequency; Low pass filters; Matched filters; Maximum likelihood detection; Maximum likelihood estimation; Nonlinear filters; Pulse modulation; Pulse shaping methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2004 IEEE International Conference on
Print_ISBN
0-7803-8533-0
Type
conf
DOI
10.1109/ICC.2004.1313022
Filename
1313022
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