Bounds and Algorithms for Time Delay Estimation on Parallel, Flat Fading Channels

摘要

We study time delay estimation (TDE) on parallel channels with flat fading. Several models for the channel gains are considered, and for each case we present the maximum likelihood estimator (MLE), the Cramer-Rao bound (CRB), and the Ziv-Zakai bound (ZZB). The bounds facilitate an analysis of the effects of fading and diversity on TDE accuracy over parallel channels. Computer simulations of the mean-squared error of the MLEs confirm the validity of the bounds.