Training-based time-delay estimation for CPM signals over time-selective fading channels

Ron Dabora*, Jason Goldberg, Hagit Messer

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


In this paper, we consider training-based symbol timing synchronization for continuous phase modulation over channels subject to flat, Rayleigh fading. A high signal-to-noise-ratio maximum-likelihood estimator based on a simplified channel correlation model is derived. The main objective is to reduce algorithm complexity to a single-dimensional search on the delay parameter, similar to that of the static-channel (slow fading) estimator. The asymptotic behavior of the algorithm is evaluated, and comparisons are made with the Cramer-Rao lower bound for the problem. Simulation results demonstrate highly improved performance over the conventional, static-channel delay estimator.

Original languageEnglish
Pages (from-to)1169-1177
Number of pages9
JournalIEEE Transactions on Communications
Issue number7
StatePublished - Jul 2004


FundersFunder number
Israeli Science Foundation
Israel Academy of Sciences and Humanities


    Dive into the research topics of 'Training-based time-delay estimation for CPM signals over time-selective fading channels'. Together they form a unique fingerprint.

    Cite this