DocumentCode :
3012010
Title :
Symbol timing estimation using near ML techniques and statistical performance evaluation for binary communications
Author :
Hossain, Md Tofazzal ; Kandeepan, Sithamparanathan
Author_Institution :
Canberra Res. Lab., Nat. ICT Australia, Canberra, ACT
fYear :
2008
fDate :
24-27 Dec. 2008
Firstpage :
486
Lastpage :
491
Abstract :
In this paper, we analyze the performance of a non-data aided near maximum likelihood (NDA-NML) estimator for symbol timing recovery in binary digital communications. The analysis of the estimator is performed for an additive noise only channel and the simulation results are extended to a flat fading channel. The probability distribution of the timing estimates is derived, presented and compared with simulation results. The performance of the estimator is presented in terms of the bit error rate (BER) and the error variance of the estimates. The BER is computed when the estimator is operating under additive white Gaussian noise (AWGN) channel and Rayleigh fading channel. The variance of the estimates is computed for the noise only case and compared with the Cramer Rao bound (CRB) and modified Cramer Rao bound (MCRB).
Keywords :
AWGN channels; Rayleigh channels; digital communication; error statistics; maximum likelihood estimation; ML technique; Rayleigh fading channel; additive white Gaussian noise channel; binary digital communication; bit error rate; flat fading channel; maximum likelihood estimator; statistical performance evaluation; symbol timing estimation; AWGN; Additive white noise; Bit error rate; Computational modeling; Cramer-Rao bounds; Digital communication; Fading; Maximum likelihood estimation; Performance analysis; Timing; BER; CRB; Flat fading channel; MCRB; Near Maximum Likelihood Estimation; Symbol Timing Error; Timing Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology, 2008. ICCIT 2008. 11th International Conference on
Conference_Location :
Khulna
Print_ISBN :
978-1-4244-2135-0
Electronic_ISBN :
978-1-4244-2136-7
Type :
conf
DOI :
10.1109/ICCITECHN.2008.4802983
Filename :
4802983
Link To Document :
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