Research On Effectiveness Evaluation Method Of Space Frequency And Orbit Resources

With the rapid development of China’s space information networks and systems,the demand for space frequency and orbit resources(SFOR)has become increasingly urgent,and SFOR has become a fundamental resource for China’s strategic development.As the acquisition and use of SFOR are subject to distinctive regulations and exclusivity,each country’s SFOR needs to follow with the relevant standards of the International Telecommunication Union(ITU),and the principle of first-registered first-occupied in the divided space service band.At the application and use stage,the overall effectiveness of SFOR needs to be evaluated.In order to meet for the existing system requirements and military strategic needs,how to evaluate the SFOR effectively and reasonably is the key to preempt the SFOR.To meet China’s future global orbital layout usage requirements,research is needed to propose a comprehensive effectiveness evaluation method for SFOR.Therefore,research is needed to propose a comprehensive effectiveness evaluation method for SFOR that focuses on scientific design and efficient use.The main research and innovation points of this dissertation are as follows.(1)A SFOR effectiveness evaluation index system is constructed to address the problem of complex factors and difficulties in quantification in the evaluation of SFOR.The index system is divided into five first-level indexes according to the orientation of guiding engineering practice,namely: military value,demand consistency,strategic value,coordination difficulty,and input-use risk index.Under the abstract first-level indexes,the indexes are gradually refined into quantifiable leaf indexes,and the corresponding calculation models and methods are established.Innovative and novel indices,such as effective coverage of military applications and satisfaction of military coverage areas,are proposed in the calculation of the indicators,and the calculation models and methods are given.(2)A hierarchical analysis processing based on the entropy weight method is proposed to address the problems of excessive subjectivity and inconsistent weights due to the limited empirical knowledge of experts,conflicting decision preferences,and decision goals in the traditional hierarchy analysis processing(AHP)when assigning weights to indexes.The method is mainly based on the sequence of the original collected data after processing,and the information entropy provided by the index evaluation data using the entropy weight method is converted into a two-by-two comparison of the importance of the index by the degree of data dispersion to generate the judgment matrix in the AHP.The experimental results show that the weights generated by the method have good consistency and solve the problem of excessive subjectivity in the assessment due to expert experience.(3)The fuzzy comprehensive evaluation method based on the least fuzzy degree method is proposed to address the problem of difficulty in identifying the membership function of certain indexes in the fuzzy comprehensive analysis method due to the inability of experts to specify their fuzzy classification.The method is based on the engineering practice in real SFOR evaluation and uses the least fuzzy method to determine a reasonable membership function by generating a large amount of data from statistical experiments on numerical indicators with fixed variables.Validation experiments are conducted based on the ITU standard database satellite network.The method can effectively generate the membership function for different numerical indexes,and the membership function satisfying the principle of least fuzziness can classify and attribute the evaluation data,which can meet the needs of comprehensive evaluation.In summary,this dissertation proposes a comprehensive effectiveness evaluation method for SFOR that includes the construction of an evaluation index system,the assignment of index weights,and a comprehensive analysis method.Two objective methods for evaluating the effectiveness are proposed,making full use of the original dataset and reducing the subjectivity in the traditional evaluation.Finally,validation experiments are conducted using real satellite network data,and the results verify the rationality and validity of the evaluation methods.