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作 者:陈永强 马宏 焦义文 刘燕都 CHEN Yongqiang;MA Hong;JIAO Yiwen;LIU Yandu(Department of Electronic and Optical Engineering,Space Engineering University,Beijing 101416,China)
机构地区:[1]航天工程大学电子与光学工程系,北京101416
出 处:《遥测遥控》2020年第5期42-51,70,共11页Journal of Telemetry,Tracking and Command
基 金:北京市科技重大专项(Z181100002918004)。
摘 要:为提高深空测控网VLBI基带转换器灵活性和多种数据格式适应能力,设计一种基于GPU的VDIF格式数据编帧方法。基于CUDA并行运算架构开发符合VDIF规范的帧头计算模块、多通道单线程编帧模块和多通道多线程编帧模块。为了实现编帧过程效率的优化,设计基于纹理缓存查找表的数据量化方法和基于流式架构的多帧信号异步编帧方法。试验验证表明,设计的编帧方法结果正确,高效可靠,有望为我国深空测控干涉测量数据记录系统参与国际VLBI联合观测提供有效的支持。In order to improve the flexibility of the deep space station VLBI baseband converter and the adaptability of multiple data formats,a data encoding method which conforms to VDIF specification is developed based-on GPU,including frame header computing module,multi-channel single-datathread encoding module and multi-channel multi-datathread encoding module.To optimize the efficiency of encoding process,a data quantization method based on lookup table using texture memory and a multi-frame asynchronous encoding method based on streaming architecture are designed.Experimental verification shows that the encoding method designed in this paper is accurate,efficient and reliable,which is expected to provide effective support for VLBI data recording system of China's deep space station to participate in international VLBI joint observation.
分 类 号:V556[航空宇航科学与技术—人机与环境工程]
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