【摘要】 针对训练符号辅助的OFDM同步算法在训练符号中循环前缀的起始位置会出现相关峰,而造成定时不准确的问题,本文基于由共轭对称结构的训练符号乘以伪随机加权因子形成的新同步训练符号,提出了一种改进的定时同步算法。该算法利用伪随机加权因子的自相关性能有效地消除循环前缀的相关峰,克服定时不准确的缺陷。仿真分析结果表明,所提算法有效。更多还原

【Abstract】 To overcome the inaccurate timing problem caused by the correlation peak located in the initial position of cyclic prefix in training symbol in OFDM preamble-aided synchronization algorithms,based on an new synchronization training symbol which be formed of the training symbol with the symmetric conjugate structure by multiplying PN weighted factor,this paper proposes an improved timing synchronization algorithm.This algorithm eliminates cyclic prefix correlation peak effectively so as to overcome the inaccurate timing by utilizing autocorrelation of the pseudo-random weighted factor.Simulation results show that the proposed algorithm is effective.更多还原