基于GPU的卫星信号信道化并行设计与实现  

Parallel design and implementation of satellite signal channelization based on GPU

作　　者：胡杰 刘凯[1] Hu Jie;Liu Kai(School of Communication&Information Engineering,Shanghai University,Shanghai 200444,China)

机构地区：[1]上海大学通信与信息工程学院,上海200444

出　　处：《电子测量技术》2022年第13期159-163,共5页Electronic Measurement Technology

摘　　要：针对军事信息侦察中卫星接收系统信号处理速度慢的问题,设计了一种基于GPU的卫星信号信道化方案。利用数字下变频级联多相信道化来提高子信道带宽位置的灵活性;设计二维Block复用输入数据以并行处理多路下变频过程;基于共享内存设计多相滤波内核完成72路信道化中的加权叠加运算。CUDA环境下使用NVIDIA RTX 2060和Intel(R)Core(TM)i5-6400的测试结果表明,本设计并行处理4路75M实信号的288路信道化耗时4.51 s,相较于单CPU处理的加速比高达40.27倍,极大地提高了侦察卫星接收端的处理速度。In order to solve the problem of slow signal processing speed of satellite receiving system in military information reconnaissance,a satellite signal channelization scheme based on GPU is designed.Using digital down conversion cascaded multiphase channelization to improve the flexibility of sub-channel bandwidth location.Two-dimensional Block multiplexing is designed to process the multichannel down conversion process in parallel.A multiphase filtering kernel based on shared memory is designed to perform the weighted stack operation in 72 channels channelization.The test results of NVIDIA RTX 2060 and Intel(R)Core(TM)i5-6400 in CUDA environment show that the 288 channel channelization of four 75 M real signals takes 4.51 s in parallel processing,which is 40.27 times faster than that of single CPU processing.It greatly improves the processing speed of the receiving end of reconnaissance satellite.

关 键 词：数字信道化 GPU 并行设计 共享内存 

分 类 号：TN914[电子电信—通信与信息系统]