DocumentCode :
2384287
Title :
Joint maximum-likelihood timing and data estimation for MSK signals from matched-filter samples
Author :
Chang, Kuor-Hsin ; Georghiades, Costas N.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
1994
fDate :
1-5 May 1994
Firstpage :
1566
Abstract :
We derive the joint likelihood function for estimating jointly data sequences and timing error for minimum shift keying signalling. The likelihood function utilizes samples taken in a free-running mode at some arbitrary sampling rate. Lower bounds on both the error-probability and mean-square timing-error are presented and seen to approach closely the optimum performance for sampling rates of two or more samples per symbol. Simulation results show that when the sampling rate is two samples per symbol the performance of our joint estimation algorithm approaches the performance of binary phase-shift-keying with perfect synchronization
Keywords :
error statistics; estimation theory; matched filters; maximum likelihood estimation; minimum shift keying; signal sampling; synchronisation; timing; MSK signals; binary phase-shift-keying; data sequences; error-probability; free-running mode; joint estimation algorithm; joint likelihood function; lower bounds; matched-filter samples; maximum likelihood data estimation; maximum-likelihood timing estimation; mean-square timing-error; minimum shift keying signalling; optimum performance; perfect synchronization; sampling rate; simulation; timing error; Data mining; Delay estimation; Frequency synchronization; Maximum likelihood estimation; Phase estimation; Phase shift keying; Radio frequency; Sampling methods; Signal processing algorithms; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 1994. ICC '94, SUPERCOMM/ICC '94, Conference Record, 'Serving Humanity Through Communications.' IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-1825-0
Type :
conf
DOI :
10.1109/ICC.1994.368767
Filename :
368767
Link To Document :
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