Title :
Optimized Synchronization Algorithm Based on OFDM Training Sequence
Author_Institution :
Shanxi Gen. Tech. Coll., Taiyuan, China
Abstract :
The Synchronization technology for OFDM is an important factor that affects the system capability. In this paper, an improved training symbol with symmetric and repetitive structure is proposed, and the estimate range of the frequency offset is enlarged by increasing the number of repetitive sequence and shortening the interval of repetitive sequence. The symmetric property of the training symbol and the correlation property of the PN weighted factor are utilized in the timing offset estimation to improve the accuracy.
Keywords :
OFDM modulation; correlation theory; synchronisation; OFDM training sequence; PN weighted factor; correlation property; frequency offset; optimized synchronization algorithm; timing offset estimation; Artificial intelligence; Channel estimation; Computational intelligence; Educational institutions; Fading; Frequency division multiplexing; Frequency estimation; Frequency synchronization; OFDM; Timing; OFDM; cyclic prefix; synchronization;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.136
