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甚长基线干涉测量技术VLBI能够弥补传统雷达测距和多普勒测速技术对垂直于视线向位置和速度不敏感的缺陷,已被广泛应用于深空航天器精密测定轨任务中。针对集群环境下VLBI数据处理的实现问题,从计算量、通信量、可扩展性、调度复杂度等方面对基线并行、测站并行、通道并行、时间并行四种并行处理方式进行对比论述分析,分析结论对正在建设中的深空干涉测量信号处理中心的数据处理系统建设具有一定的参考价值。
Very Long Baseline Interferometry VLBI can compensate for the shortcomings of traditional radar ranging and Doppler velocimetry, which are insensitive to the position and velocity perpendicular to the line of sight and have been widely used in the precision measurement of deep spacecraft. Aiming at the realization of VLBI data processing in cluster environment, this paper compares and analyzes four parallel processing methods: baseline parallelism, parallelism of measurement stations, parallelism of channels and parallelism of time, in terms of computation, traffic, scalability and scheduling complexity. The conclusion of the analysis is of certain reference value for the data processing system construction of the signal processing center for deep space interferometry under construction.