Effectiveness Evaluation Of Remote Sensing Satellite System Based On Uncertainty

After decades of development,China’s remote sensing satellite technology has made great progress.In order to make better use of remote sensing technology and enhance the capability of remote sensing satellite in the future,we need to understand the shortage of existing remote sensing information and the capability weakness of remote sensing satellite,so as to achieve targeted in satellite scheme design,in orbit satellite resource allocation and task scheduling.Therefore,as a quantitative evaluation method of remote sensing satellite capability,the effectiveness evaluation is of great significance to the development of remote sensing satellite system.This paper mainly studies the effectiveness evaluation method of remote sensing satellite system,and applies this method to evaluate the effectiveness of remote sensing satellite system which performs regional observation tasks.This paper first briefly introduces the general process of effectiveness evaluation.According to this process,it makes a more in-depth study on the construction of effectiveness evaluation index system,index simulation calculation and weight assignment methods.The construction of the effectiveness evaluation index system is the basis of the effectiveness evaluation.Starting from the basic meaning of the effectiveness evaluation that the remote sensing satellite system meets the needs of the remote sensing task,this paper applies the task decomposition method to decompose the remote sensing task,and completes the mapping from the task activity to the task ability,and then to the evaluation index,so as to obtain the bottom indicators of the effectiveness evaluation.Finally,the effectiveness evaluation index system is established from the bottom engineering parameters of remote sensing satellite platform,satellite payload and satellite operating environment to the bottom index of satellite,from the bottom performance index of satellite to the application efficiency index and comprehensive ability index.Secondly,the bottom performance indicators are simulated.In view of the uncertainty problems in the real satellite operating environment,this paper studies the current uncertainty quantification methods,selects Monte Carlo method,stochastic collocation method and sparse grid method to solve the indicators with uncertain factors,and obtains the index results with statistical characteristics.In addition,in the face of indicators with different dimensions,ranges and trends,they need to be pretreated before they can be integrated with other indicators.In this paper,according to the different significance of the trend of each indicator,the indicators are divided into two types: costeffective and benefit oriented.The normalized indicators are used as the data preparation for the follow-up effectiveness evaluation.Finally,the weight of the bottom indicators of performance evaluation is given.In view of the disadvantages of traditional AHP,such as the difficulty of weight determination and subjective limitation,this paper first adopts the uncertainty AHP,which uses interval number to replace the determined value to form the index importance judgment matrix,which makes the importance judgment between the indexes more accurate.Secondly,the paper uses the combination of AHP and the weighting method of entropy to give index weight,combined with the advantages of subjective and objective weighting methods,making the weight more scientific and reasonable.Finally,the overall effectiveness score of the remote sensing satellite system is obtained by combining the normalization results of the above calculated indexes.