基于抽取滤波器多相分解的盲自适应符号同步算法
Blind Adaptive Symbol Synchronization Algorithm Based on Decimation Filters Polyphase Decomposition
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摘要: 针对软件无线电系统中接收信号采样时钟独立于发送信号时钟的特点,提出了在抽取操作过程中实现符号同步,避免了在基带阶段进行内插操作,以得到多相位信息的做法.利用过抽样信号固有的多相位信息,通过最大似然相位误差捡测算法,调整延时机构,使信号传输延时匹配于延时分枝索引值,实现后续信号抽取输出为最佳采样值.利用级联积分梳状(CIC)滤波器和半带滤波器(HBF)作为抽取滤波器,应用滤波器多相分解算法,降低了系统实现的复杂性和运算量.仿真结果表明,当信号传输延时匹配于延时分枝索引值时,相位误差和延时分枝索引值将趋于稳定.Abstract: For the received signals were sampled at a fixed rate that is asynchronous with the data clock in software radio, we implement symbol synchronization during the process of decimation which replace general methods by using an interpolator in the baseband stage, and Maximum Likelihood(ML) timing synchronization techniques can be incorporated into the filters polyphase decomposition in a natural way. In order to match the timing delay of received signals to the data timing delay, the timing delay structure was adjusted by utilizing the timing error. Cascaded Integrator Comb (CIC) filters and HalfBand Filters (HDF) served as decimation filters that reduce the system complexity and computational burden to a certain extent. The numerical simulation results show that the value of timing delay structure will be converged to a constant with small fluctuation when the received signals timing delay matches the data timing delay, and the output from the last stage of FIR is the optimal sampled signals.
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