TY - JOUR
T1 - Training-based time-delay estimation for CPM signals over time-selective fading channels
AU - Dabora, Ron
AU - Goldberg, Jason
AU - Messer, Hagit
N1 - 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: [email protected]). J. Goldberg is with Phonetact, Inc., Los Altos, CA 94002 USA (e-mail: [email protected]) H. Messer is with the Department of Electrical Engineering-Systems, Tel Aviv University, Tel Aviv 69978, Israel (e-mail: [email protected]). Digital Object Identifier 10.1109/TCOMM.2004.831340
PY - 2004/7
Y1 - 2004/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=3543125362&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2004.831340
DO - 10.1109/TCOMM.2004.831340
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AN - SCOPUS:3543125362
SN - 0090-6778
VL - 52
SP - 1169
EP - 1177
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 7
ER -