Design of Parallel Processing System for Multi-satellite Load Test Data Based on Big Data Optimization Processing

In the background of 1.5 Gbps ultra-high code rate big data transmission, this paper proposes a parallel processing system for Multi-satellite test data processing of remote sensing load. From the two aspects of the hardware architecture of the system and the software logic of dynamic resource allocation, the specific design and implementation scheme of the Multi-satellite test data processing a parallel processing system for remote sensing load are expounded. That is to meet the needs of Multi-satellite normal testing, and save equipment development costs as much as possible, on-time monitoring of common equipment and resources to achieve a fast reconfigurable system architecture. The high-speed parallel processing solves the problem of on-time analysis of ultra-high code rate big data, and the single-channel parallel processing rate reaches 1.5 Gbps or more. The Multi-satellite testing is realized through the Multi-satellite sharing strategy, which fully satisfies the system-level verification test of researching and subsequent models.