| Publisher | University of New Brunswick | ||
|---|---|---|---|
| Format | 317.3KB PDF, requires Acrobat Rdr 5 | Date added | 02 Mar 2004 |
| Topics | Modems, Mobile - Wireless Communications, Wireless LAN | ||
| Downloads | 37 | ||
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.
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