一种基于OpenMP多核并行机制的基带数据处理方法

A baseband data processing method based on the multi-core parallel mechanism of OpenMP

针对遥感卫星地面基带处理速率低、效率不高、稳定性差等问题,提出一种基于OpenMP多核并行机制的基带数据处理方法。通过在系统平台上建立多个线程,将数据处理分解到多线程中进行并行处理。以真实的卫星数据作为测试源,在压缩比为4∶1和无损模式下,从时间、解码速度、CPU占用、内存、设备资源利用率等指标对基带处理方法性能进行评估。评估结果表明,基于OpenMP并行化处理方法的解压缩软件,在充分利用硬件平台性能的基础上,实现了4倍解压缩速率的提升,显著提升了实时性。

In view of the low processing rate,low efficiency and poor stability of the ground baseband of remote sensing satellite,a baseband data processing method based on the OpenMP multi-core parallel mechanism is proposed.By establishing multiple threads on the system platform,the data processing is decomposed into multiple threads for parallel processing.Using real satellite data as the test source,in the compression ratio of 4∶1 and lossless mode,the baseband processing method is evaluated from time,decoding speed,CPU,memory,and resource utilization as indicators.The evaluation results show that the decompression software based on the OpenMP parallelization processing method,on the basis of making full use of the hardware platform,achieves an increase of 4 times the decompression rate,and significantly improves the real-time performance.