摘要
针对卫星测控中直接序列扩频(Direct Sequence Spread Spectrum,DSSS)信号解调面临的高动态场景处理效率低、传统可编程门阵列(Field Programmable Gate Array,FPGA)平台灵活适应性不足等问题,对图形处理器(Graphics Processing Unit,GPU)加速的DSSS遥测信号解调技术的发展现状进行了分析和研究,结合GPU异构计算架构与统一计算设备架构(Computer Unified Device Architecture,CUDA)编程模型,探讨其现状、不足及改进方向。
Addressing the problems of low processing efficiency in high-dynamic scenarios and insufficient flexibility and adaptability of traditional field programmable gate array(FPGA)platforms for direct sequence spread spectrum(DSSS)signal demodulation in satellite telemetry and control,this paper examines the development status of graphics processing unit(GPU)accelerated DSSS telemetry signal demodulation technology.Combined with the GPU heterogeneous computing architecture and computer unified device architecture(CUDA)programming model,its current status,shortcomings and improvement directions are discussed.
作者
陈其敏
焦义文
吴涛
李雪健
冯浩
CHEN Qimin;JIAO Yiwen;WU Tao;LI Xuejian;FENG Hao(Key Laboratory of Intelligent Space TTC&O(Space Engineering University),Ministry of Education,Beijing 101416,China)
出处
《航天工程大学学报》
2025年第5期66-73,共8页
Journal of Space Engineering University
基金
国防科技发展应用推进计划资助项目(145BKJ050522000X)。
关键词
直接序列扩频遥测信号
捕获跟踪
图形处理器
并行计算
实时解调
direct sequence spread spectrum(DSSS)telemetry signal
acquisition and tracking
graphics processing unit(GPU)
parallel computing
real-time demodulation
