Adaptive OFDM Synchronization Algorithms Based on Discrete Stochastic Approximation

Overview

This paper presents discrete stochastic approximation algorithms (DSA) for time synchronization in OFDM systems. The paper shows 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.