In response to the rapid increase in data processing time and low timeliness of remote sensing satellites, research is being conducted on intelligent processing, retrieval, and distribution of massive data, and an intelligent information extraction capability of “finding a needle in a haystack” is being constructed to achieve the goal of remote sensing satellites seeing more and identifying more accurately. In response to the rapid development trend of small satellite technology and products triggered by high timeliness information acquisition, innovative technologies such as software definable new architecture and remote satellite ground function upgrades have been overcome under the constraints of small satellite cost, volume, and power consumption, solving the problem of massive data transmission from small satellites. The breakthrough in the time required for remote sensing satellite intelligent services from data acquisition to application has been achieved from the hour level to the minute level, reducing the amount of data processed by more than 99%. Under the same capacity, the weight has been reduced by 90% and the power consumption has been reduced by 85%. Relevant technologies have been applied in orbit.

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Research on Key Technologies for Integrated Data Transmission of Small Satellites

  • Zexu Qu,
  • Huoneng Fang,
  • Lang Zhang,
  • Xiaowei Biao,
  • Chi Ma,
  • Yu Yuan,
  • Chao Zhang,
  • Yu Wang

摘要

In response to the rapid increase in data processing time and low timeliness of remote sensing satellites, research is being conducted on intelligent processing, retrieval, and distribution of massive data, and an intelligent information extraction capability of “finding a needle in a haystack” is being constructed to achieve the goal of remote sensing satellites seeing more and identifying more accurately. In response to the rapid development trend of small satellite technology and products triggered by high timeliness information acquisition, innovative technologies such as software definable new architecture and remote satellite ground function upgrades have been overcome under the constraints of small satellite cost, volume, and power consumption, solving the problem of massive data transmission from small satellites. The breakthrough in the time required for remote sensing satellite intelligent services from data acquisition to application has been achieved from the hour level to the minute level, reducing the amount of data processed by more than 99%. Under the same capacity, the weight has been reduced by 90% and the power consumption has been reduced by 85%. Relevant technologies have been applied in orbit.