Adaptive OFDM synchronization algorithms based on discrete stochastic approximation

@article{citeulike:2426836, abstract = {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.}, author = {Krishnamurthy, V. and Athaudage, C. R. N. and Huang, Dawei }, booktitle = {Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on]}, citeulike-article-id = {2426836}, doi = {10.1109/TSP.2005.843710}, journal = {Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on]}, keywords = {adaptive, algorithm, ofdm, synchronization}, number = {4}, pages = {1561--1574}, posted-at = {2008-02-25 19:19:26}, priority = {2}, title = {Adaptive OFDM synchronization algorithms based on discrete stochastic approximation}, url = {http://dx.doi.org/10.1109/TSP.2005.843710}, volume = {53}, year = {2005} }

TY - JOUR ID - citeulike:2426836 TI - Adaptive OFDM synchronization algorithms based on discrete stochastic approximation T2 - Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] JF - Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] VL - 53 IS - 4 SP - 1561 EP - 1574 N2 - 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. KW - adaptive KW - algorithm KW - ofdm KW - synchronization AU - Krishnamurthy, V AU - Athaudage, CRN AU - Huang, Dawei PY - 2005/// UR - http://dx.doi.org/10.1109/TSP.2005.843710 ER -