Evaluation of ELINT system effectiveness based on Grey Relational Optimization Algorithm. (August 2020)

• Record Type: Journal Article
• Authors: Qiu, Risheng; Pan, Jifei; Zhao, Jun; Shengli, Zhang; Deheng, Chu
• Is Part Of: Journal of physics. Volume 1607(2020)
• Publication Date: 2020-08
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1607/1/012109
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Aiming at the problems and shortcomings of the current electronic intelligence reconnaissance system effectiveness evaluation methods, an ELINT system effectiveness evaluation algorithm based on grey correlation optimization algorithm is proposed. The algorithm firstly combines the principle of ELINT system to build its evaluation index system. Then, based on the subjective and objective attributes of the index, the algorithm combines the G1 sequence subjective weighting method with the CRITIC objective weighting method to obtain the combined weight of each index. Finally, the improved gray correlation optimization algorithm model is used to analyze the correlation of the index value of the system under test, and the system performance is determined by comparing each distance with the optimal system. Theoretical analysis and simulation results show that the method effectively combines qualitative and quantitative analysis and is feasible in the performance evaluation of ELINT system.