An Optimization Method for Satellite Data Structure Design Based on Improved Ant Colony Algorithm

被引：1

作者：

Zhao, Jinchen ^{[1
,2
]}

Ye, Mian ^{[1
,2
]}

机构：

[1] Xihua Univ, Sch Aeronaut & Astronaut, Chengdu 610039, Sichuan, Peoples R China

[2] Minist Educ Intelligent Air Ground Fus Vehicles &, Engn Res Ctr, Chengdu 610039, Sichuan, Peoples R China

来源：

IEEE ACCESS | 2023年 / 11卷

基金：

中国国家自然科学基金;

关键词：

Ant colony algorithm; optimization design; satellite data structure; satellite telemetry; GENETIC ALGORITHM;

D O I：

10.1109/ACCESS.2023.3290174

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The telemetry data structure is the embodiment of satellite telemetry format, the rationality and correctness of which determine the satellite telemetry capacity as well as transmission capability. Conventional satellite telemetry data structure designs excessively depend on manual experience, easily leading to problems such as waste of satellite resources, low telemetry transmission efficiency and unintuitive ground decoding. In this paper, a novel method was proposed to optimize the design of satellite telemetry data structure, based on rasterized modeling to visualize the design constraints, and an improved ant colony algorithm with grey relational analysis to optimize the telemetry data structure. The method is not only effective in preventing the deficiencies of conventional approaches, but also beneficial to the rational allocation of telemetry resources. The feasibility was verified by the telemetry data of a satellite with DFH-4 platform, and the results showed favorable convergence, along with valid improvement of the design process efficiency and application effect.

引用

页码：64941 / 64956

页数：16

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