一种符合CCSDS 131.2-B标准的下一代地球观测任务遥测下行硬件软件仿真平台

Emanuele Pagani, Roberto Ciardi, Gionata Benelli, Matteo Bertolucci, Francesco Falaschi, Riccardo Cassettari, L. Fanucci, Andrea Modenini
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引用次数: 0

摘要

在过去几年中,对地观测卫星有效载荷数据遥测(PDT)系统的吞吐量要求大大增加。2012年发布的CCSDS 131.2-B标准已被证明是高速率遥测应用的可靠解决方案,特别是当需要链路自适应技术来应对可变信道条件时。特别是,该标准及其固有支持的自适应编码和调制(ACM)技术可以在即将到来的哥白尼任务中采用,这对PDT在吞吐量要求方面提出了新的挑战。由于从未部署过具有类似性能的系统,因此需要一个全面的测试环境来执行彻底的验证阶段。本文提出了一个CCSDS 131.2-B ACM测试平台,该平台实现了一个端到端通信系统,用于低地球轨道(LEO)卫星的遥测数据下行链路,支持高达500 MBaud的符号速率。包括对太阳同步轨道(SSO)的仿真和在ka波段传输中遇到的主信道损伤,该试验台旨在准确模拟未来EO任务的数据流。此外,通过对链路性能进行综合评估,它是支持系统设计和链路自适应策略微调的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A CCSDS 131.2-B compliant telemetry downlink hardware-software emulation platform for next-generation Earth observation missions
During the last few years, the throughput requirements of payload data telemetry (PDT) systems for Earth observation (EO) satellites have increased considerably. The CCSDS 131.2-B standard, issued in 2012, has already proven to be a sound solution for high-rate telemetry applications, especially when link adaptation techniques are required to cope with variable channel conditions. In particular, this standard and the adaptive coding and modulation (ACM) technique that it inherently supports could be adopted in the forthcoming Copernicus missions, which pose new challenges to PDT regarding throughput requirements. Since systems with comparable performance have never been deployed, a comprehensive test environment is needed to carry out a thorough validation phase.This paper presents a CCSDS 131.2-B ACM testbed that implements an end-to-end communication system for telemetry data downlink from a low Earth orbit (LEO) satellite, supporting symbol rates up to 500 MBaud. Including the emulation of a Sun-synchronous orbit (SSO) and the main channel impairments encountered in a Ka-band transmission, this testbed aims to accurately model the data flow of future EO missions. Furthermore, by allowing a comprehensive evaluation of the link performance, it turns out to be an effective tool for supporting system design and fine tuning of link adaptation strategies.
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