Symbol timing estimation using near ML techniques and statistical performance evaluation for binary communications

Hossain, Tofazzal; Kandeepan, Sithamparanathan

doi:10.1109/iccitechn.2008.4802983

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…The NDA-NML timing estimation technique as derived by the authors of this paper, is also described in [19,20]. We use the Maximum Likelihood (ML) principles to derive the symbol timing estimator assuming no a-priori knowledge of the received symbol sequence.…”

Section: Nda-nml Timing Estimatormentioning

confidence: 99%

“…A non-data aided near maximum likelihood (NDA-NML) estimator is presented, which was proposed in [19,20], and we extend the work here for a cooperative system by also comparing it with a correlator based data-aided maximum likelihood timing estimator. The NDA-NML technique is proposed due to its low computational complexity of implementation.…”

Section: Introductionmentioning

confidence: 97%

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Timing Synchronization for Cooperative Communications with Detect and Forward Relaying

Hossain

Smith

Kandeepan

2010

Wireless Pers Commun

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A non-data-aided near maximum likelihood (NDA-NML) symbol timing estimator is presented, which is applied to a cooperative communication system with a source, relay and destination. A Cramer rao bound (CRB) for the estimator for asymptotically low signal-to-noise (SNR) ratio case is derived. The timing complexity of the NDA-NML estimator is derived and compared with the correlation based data-aided maximum likelihood (DA-ML) estimator. It is demonstrated that the complexity of the NDA-NML estimator is much less than that of correlation based DA-ML estimator. The bit-error-rate (BER) performance of this system operating in a detect-and-forward (DAF) mode is studied where the channel state information (CSI) is available at the receiver and the symbol timings are estimated independently for each channel. SNR combining (SNRC) and equal ratio combining (ERC) methods are considered. It is found that timing estimation error has a significant effect on BER performance. It is also found that for large timing error the benefit of cooperative diversity could vanish. It is demonstrated that significant gains can be made with both combining methods with cooperation and timing estimation, where the gains are the same for both estimators.

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Section: Nda-nml Timing Estimatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%