摘要
随着卫星遥感技术的发展,遥感数据的类型和数据量快速增加,这对数传能力提出了更高要求.针对数传AOS编码缓存容量受限的应用,提出了两种降低缓存容量需求的解决方案:第一种方案是提高数据传输码速率;第二种方案是对压缩编码单元和AOS编码单元之间的数据接口进行综合设计,在压缩编码单元输出压缩码流数据时采取时序分散化输出方式,以降低AOS编码缓存输入的瞬时数据率.采用动态仿真技术对方案的缓存容量需求进行了动态分析,结果表明:两种方案均能降低缓存容量需求,而第二种方案对缓存容量需求的降低效果更为显著.方案已应用到某卫星工程项目的数传系统产品中,通过了在轨飞行验证.文章提出的技术途径可为后续低成本、高码速率数传设计提供参考.
With the development of satellite remote sensing technology, types and amount of remote sensing datum are in- creasing rapidly, which put forward higher requirements to data transmission capability. Two schemes are proposed to reduce cache capacity requirements in the buffer capacity restricted condition while designing Advanced Orbit System(AOS) encoding for data transmission.In the first one,the data transmission rate is increased.And in the second,the data interface between compression unit and the AOS encoding unit is designed synthetically and the timing of compressed data output is decentralized so as to reduce the in- stantaneous data rate of the AOS encoding cache entry. The buffer capacity demands in both schemes are analyzed dynamically using simulation techniques. The results show that each scheme can reduce cache capacity requirements, while the second scheme requires less buffer capacity significantly. The schemes have been applied to the data transmission system products of certain satellite engi- neering project and have passed flying verifications. The approaches proposed in this paper have a reference value for the follow-up low cost, high rate transmission system applications.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2013年第10期2016-2020,共5页
Acta Electronica Sinica
基金
国家重点实验室基金项目
关键词
遥感卫星
高速数据传输
缓存深度
动态分析
remote sensing satellite
high rate data transmission
buffer depth
dynamic analysis