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

Ron Dabora, Jason Goldberg, Hagit Messer

Research output: Contribution to journalArticlepeer-review


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
Externally publishedYes

Bibliographical note

Funding Information:
Paper approved by R. Reggiannini, the Editor for Synchronization and Wireless Applications of the IEEE Communications Society. Manuscript received June 17, 2002; revised May 27, 2003. This work was supported in part by the Israeli Science Foundation, founded by the Academy of Sciences and Humanities. R. Dabora is with the School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853 USA (e-mail: J. Goldberg is with Phonetact, Inc., Los Altos, CA 94002 USA (e-mail: H. Messer is with the Department of Electrical Engineering-Systems, Tel Aviv University, Tel Aviv 69978, Israel (e-mail: Digital Object Identifier 10.1109/TCOMM.2004.831340


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