Sat, 05 Jul 2008 06:12:31 BST CiteULike: dcastro's library [1879 articles] http://www.citeulike.org/user/dcastro/article/2426836 CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/dcastro/article/2426836 <i>Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 53, No. 4. (2005), pp. 1561-1574.</i><br /><br />This paper presents discrete stochastic approximation algorithms (DSA) for time synchronization in orthogonal frequency division multiplexing (OFDM) systems. It is shown that the discrete stochastic approximation algorithms can be effectively used to achieve a significant reduction in computational complexity compared to brute force maximum-likelihood (ML) methods for OFDM synchronization. The most important property of the proposed algorithms is their recursive self-learning capability-most of the computational effort is spent at the global or a local optimizer of the objective function. The convergence of the algorithms is analyzed. An adaptive version of the discrete stochastic approximation algorithm is also presented for tracking time-varying time delays and frequency offsets in time-selective fading channels. Detailed numerical examples illustrate the performance gains of these DSA-based synchronization algorithms. Adaptive OFDM synchronization algorithms based on discrete stochastic approximation V Krishnamurthy CRN Athaudage Dawei Huang doi:10.1109/TSP.2005.843710 Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 53, No. 4. (2005), pp. 1561-1574. 2008-02-25T19:19:01-00:00 2005 Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] 53 4 1561 1574 adaptive algorithm ofdm synchronization