软件化锁相环数据并行方法研究

信号处理速度是衡量软件化锁相环性能的重要指标之一。以往的软件化锁相环采用基于数据冗余的并行处理方法,但冗余数据量的引入导致计算机资源浪费、效率降低等问题。因此,设计了一种基于数据块和冗余数据段双重动态划分的并行化处理方法,给出了数据动态划分策略,通过计算机模拟比较了新型并行环路与传统环路的性能。仿真结果表明,数据段动态划分的方法不仅使得跟踪的性能更好,处理结果更完备,把失锁造成的数据缺失减到最小,而且避免了数据冗余并行化方法因计算量增加而使效率降低等问题。

Research on Data Parallel Method of Software PLL

Signal processing speed is one of the most important parameters in evaluation of the performance of software PLL（Phase-Looked Loop）.Parallel processing method based on data redundancy is often used in traditional software PLL,but the introduction of redundant data results in waste of resources and low efficiency.This paper proposes a parallel processing method based on dynamic partitioning of data blocks and redundant data segments.Dynamic data partition strategy is presented.The new parallel circle is compared with the traditional circle by computer simulation and the results show that the proposed method not only improves tracking performance and reduces data loss,but also solves the problem of efficiency degradation caused by redundant data.