一种基于多相滤波的高速信号处理算法

在多速率信号处理中,常采用多相滤波结构以有效地降低系统的运算量,提高系统信号处理的实时性。如果采用内插系统的多相滤波结构,在实现过程中受系统时钟频率的约束,将无法实现采样率超过时钟频率的高速率信号的传输。提出了一种基于多相滤波结构的新型高速信号处理算法,对高速信号进行多级多相滤波,从而将信号进行多相分解,采用多通道传输;利用多路低采样率信号得到高采样率的输出信号,并在接收端进行信号合成。具有运算量小、消耗资源少、便于实现等优点,并通过公式推导及仿真结果验证了其正确性,解决了高速率信号受系统时钟频率限制难以实现的问题。

Algorithms of High-Speed Signal Processing Based on Poly-Phase Filter

Poly-phase filter is frequently applied in the multiple-rate signal processing,it can effectively reduce the computational complexity of the system and improve the real time performance of digital signal processing.By the constraints of the system clock frequency,its difficult to implement the transmission of the high-speed signal through traditional interpolation system.The high-speed signal can be transported through multi-channel after poly-phase decomposition,based on multilevel and poly-phase filtering.In this way,a high sampling rate signal can be easily obtained by multiple low sampling rate signals.At the receiv-ing end,the signal will be synthesized.This method can reduce resource consumption remarkably and de-crease the system complexity.High-speed signal can be easily achieved without the limit of system clock fre-quency in this method,and it has been verified through derivation and simulation.