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Retrieval-augmented Generation-based Decision Optimization Model for Satellite Mission Requirement Planning
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Qian MA1, Gang WANG1, Shutong LIU2, Jinyong CHEN1
Radio Engineering | 2025, 55(11) : 2316 - 2324
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Radio Engineering | 2025, 55(11): 2316-2324
Engineering & Application
Retrieval-augmented Generation-based Decision Optimization Model for Satellite Mission Requirement Planning
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Qian MA1, Gang WANG1, Shutong LIU2, Jinyong CHEN1
Affiliations
  • 1.Academy for Network & Communications of CETC, Shijiazhuang 050081, China
  • 2.Unit 94804, PLA , Shanghai 200000, China
Published: 2025-11-05 doi: 10.3969/j.issn.1003-3106.2025.11.020
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To address the inadequacy of multimodal data fusion and complexities in dynamic constraint optimization for satellite mission requirement decision-making, an intelligent decision model is designed to enhance automation and accuracy. The proposed Retrieval-Augmented Generation (RAG)-based optimization model for satellite mission planning comprises: ① An input layer receiving multimodal data such as user requirement texts and geospatial coordinates, etc. ; ② A processing layer integrating Transformer-architecture Large Language Model ( LLM) with vector databases to enable semantic retrieval and knowledge augmentation; ③ A constraint verification module in the output layer generating feasible solutions; ④ A feedback layer dynamically updating the knowledge base. Experimental validation demonstrates 90% decision accuracy—achieving 20% and 9.8% absolute accuracy improvements over conventional Rule-Based Expert Systems ( RBES) and Machine Learning Models ( MLM ), respectively. The model significantly enhances adaptability in satellite mission decision-making, enables efficient resource allocation under dynamic constraints, and exhibits substantial engineering applicability.

satellite mission requirement decision-making  /  RAG  /  LLM  /  multimodal fusion  /  constraint optimization  /  intelligent decision-making
Qian MA, Gang WANG, Shutong LIU, Jinyong CHEN. Retrieval-augmented Generation-based Decision Optimization Model for Satellite Mission Requirement Planning[J]. Radio Engineering, 2025 , 55 (11) : 2316 -2324 . DOI: 10.3969/j.issn.1003-3106.2025.11.020
Year 2025 volume 55 Issue 11
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Article Info
doi: 10.3969/j.issn.1003-3106.2025.11.020
  • Receive Date:2025-07-16
  • Online Date:2026-04-17
  • Published:2025-11-05
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  • Received:2025-07-16
Affiliations
    1.Academy for Network & Communications of CETC, Shijiazhuang 050081, China
    2.Unit 94804, PLA , Shanghai 200000, China
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红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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