卫星通信载荷向量化建模方法

Mathematical Modeling Vectorization for Satellite Communications Payload

随着运载、卫星平台、互联网星座和信息科技等不断进步,以及广域无线通信需求的不断增长,卫星的通信载荷正逐渐向大规模、多功能、复杂处理交换等方向发展,传统低效的人工设计方法已无法适应卫星数字化批产化发展趋势。提出了一种通信载荷向量化建模方法,该方法基于前向传播思想对所有链路同时进行向量化运算,并对运算结果基于链路逻辑连接关系进行压缩,最终得到了包含所有可能的链路路径组合。该方法仅以多项式级别时间复杂度便得到了通信载荷链路理论上所有可能组合,同时基于链路逻辑连接关系的压缩进一步降低了模型运算复杂度。性能分析结果表明,所提方法相比传统方法可以极大提高通信载荷数学建模效率,在数字化研制各阶段具有重要应用价值。

With the continuous advancement of launch vehicles,satellite platforms,Internet constellations and information technologies,as well as the growing demand for wide-area interconnection communications,communication satellite payloads are gradually developing in the direction of large-scale,multi-functional,complex processing and switching,while traditional manual design methods can no longer adapt to the trend of digital development.In this paper,we propose a mathematical modeling for satellite communications payload,which vectorizes all links simultaneously based on the idea of forward propagation,and compresses operation results based on logical connection relationship of links,and finally obtains all possible link path combinations.All possible combinations of repeater links are obtained with only polynomial-level time complexity,and the compression based on the logical connection relationship of the link further reduces model complexity.Performance analysis results show that the proposed mathematical modeling can greatly improve the efficiency of communication payload design,and has important application value in all stages of digital development of satellites.