Title :
On the performance limits of data-aided synchronization
Author :
Jiang, Yimin ; Sun, Feng-Wen ; Baras, John S.
Author_Institution :
Hughes Network Syst. Inc., Germantown, MD, USA
fDate :
1/1/2003 12:00:00 AM
Abstract :
This paper addresses data-aided (DA) synchronization, in which the reference parameter acquisition is aided by a training sequence known to the receiver. The Cramer-Rao lower bound (CRB) for the DA timing and/or carrier phase recovery is presented. For DA parameter estimation, the CRB typically varies with the training sequence. This indicates that different training sequences offer fundamentally different performance. In the literature, the widely cited closed-form CRB for timing and carrier phase recovery was derived under the assumption that the training sequence is independent and identically distributed (i.i.d.) and sufficiently long. We derive a closed-form CRB for timing and carrier phase recovery with respect to an arbitrary training sequence and pulse shaping function for the over and under sampling cases. It turns out that the CRB is a weighted summation of the aperiodic correlation of the training sequence and the weighting factor is determined by the pulse shaping filter. Therefore, this paper reveals the fundamental link between a training sequence and its corresponding performance limit.
Keywords :
Toeplitz matrices; correlation methods; filtering theory; matrix inversion; phase estimation; pulse shaping; signal sampling; synchronisation; timing; Cramer-Rao lower bound; DA parameter estimation; DA timing; aperiodic correlation; carrier phase offsets estimation; carrier phase recovery; closed-form CRB; data-aided synchronization; i.i.d. training sequence; independent identical distribution; inverse Toeplitz matrices; over sampling; performance limits; pulse shaping filter; receiver; reference parameter acquisition; timing recovery; training sequences; under sampling; weighted summation; Electronic mail; Filters; Frequency synchronization; Helium; Parameter estimation; Phase estimation; Pulse shaping methods; Sampling methods; Sun; Timing;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2002.806156