A Non-Data-Aided Maximum Likelihood Time Delay Estimator Using Importance Sampling

In this paper, we present a new time delay maximum likelihood estimator based on importance sampling (IS). We show that a grid search and lack of convergence from which most iterative estimators suffer can be avoided. It is assumed that the transmitted data are completely unknown at the receiver. Mo...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 59; H. 10; S. 4505 - 4515
Hauptverfasser:	Masmoudi, A., Bellili, F., Affes, S., Stephenne, A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.10.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Compressed Computer Science Cramér-Rao lower bound (CRLB) Delay effects Detection, estimation, filtering, equalization, prediction Estimators Exact sciences and technology Importance sampling Information, signal and communications theory Intervals Iterative methods Mathematical analysis Mathematical models Maximum likelihood estimation Monte Carlo methods non-data-aided (NDA) estimation optimization methods Random variables Signal and communications theory Signal and Image Processing Signal to noise ratio Signal, noise Studies symbol timing recovery Telecommunications and information theory Time delay Unified modeling language Performance evaluation Parameter estimation AWGN Nuisance parameter Data transmission Iterative method Cramér-Rao lower bound (CRLB) symbol timing recovery Optimization Monte Carlo methods Delay time Random variable Importance function Importance sampling Likelihood function Cramer Rao inequality Monte Carlo method Global optimum optimization methods Algorithm Computational complexity Clock recovery Symbol manipulation Signal processing non-data-aided (NDA) estimation Numerical simulation Maximum likelihood
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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