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Calculation and Evaluation Method of Complex Electromagnetic Environment Based on Analytic Hierarchy Process
Yanyan MA, Qiang LIN, Xuhui LI
Modern Defense Technology    2024, 52 (6): 17-23.   DOI: 10.3969/j.issn.1009-086x.2024.06.003
Abstract736)   HTML68)    PDF (2304KB)(114)       Save

An evaluation method based on analytic hierarchy process (AHP) is proposed to evaluate the electromagnetic environment complexity of electronic equipment. The influencing factors and principles related to the complexity of the electromagnetic environment are introduced. The evaluation index system and the calculation method of each index are analyzed. Quantitative expression form of complex electromagnetic environment is provided. An evaluation model of electromagnetic environment complexity based on decision theory is proposed by AHP. An application example is used to visually display the complexity of the electromagnetic environment in a specific area. The simulation results show that the evaluation and presentation method can comprehensively and accurately describe the complexity of the electromagnetic environment.

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Simulation Method of Target Track Based on Embedded Particle Swarm Optimization Algorithm
Yanyan MA, Qiang LIN, Chuang NIU, Haida YANG
Modern Defense Technology    2024, 52 (5): 51-60.   DOI: 10.3969/j.issn.1009-086x.2024.05.007
Abstract992)   HTML52)    PDF (2388KB)(218)       Save

A target track simulation method based on embedded PSO is proposed to address the fidelity and universal applicability issues of radar-moving target track simulation. Firstly, the principle of simulation moving target track by UAV is analyzed, the motion model and coupling relationship between the UAV and the simulated target is discussed and the control quantity and control equation are determined. Then, based on constraint conditions of target motion track simulation, the objective optimization fitness function is proposed by UAV performance and energy consumption, and the optimal control model of target track simulation is established. Finally, in order to improve the accuracy and practicality of the model solution, the particle swarm optimization algorithm is improved and embedded in the model solution, achieving effective simulation of different motion tracks of the target. The simulation results indicate that this method can have wide applicability for simulating the track of moving targets.

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Review on Complex Battlefield Electromagnetic Environment
Yanyan MA, Qiang LIN, Chuang NIU, Duanyang SHI, Lei CHEN
Modern Defense Technology    2024, 52 (4): 16-23.   DOI: 10.3969/j.issn.1009-086x.2024.04.002
Abstract4192)   HTML426)    PDF (830KB)(752)       Save

The complex battlefield electromagnetic environment is an important element of the modern battlefield. It is important to master its connotation and characteristics to improve battlefield perception, weapon effectiveness, and survivability. The complex battlefield electromagnetic environment research has great application value for weapon capability. The basic concepts and research status of complex battlefield electromagnetic environment is summarized. The study of complex battlefield electromagnetic environment is summarized as electromagnetic environment description, monitoring, measurement and construction, and weapon adapt-ability test in two aspects of cognitive research and application research, and these five contents are discussed respectively. Finally, the future research direction and trend of complex battlefield electromagnetic environment are prospected

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Performance Evaluation of Intelligent Radar Information Processing Based on Improved AHM-TOPSIS
Duanyang SHI, Qiang LIN, Bing HU, Jiajun CHEN
Modern Defense Technology    2023, 51 (5): 93-103.   DOI: 10.3969/j.issn.1009-086x.2023.05.012
Abstract121)   HTML5)    PDF (804KB)(233)       Save

According to the needs of performance evaluation of intelligent radar information processing, the performance evaluation index system of intelligent radar information processing was constructed from three technologies including target detection, target recognition, and residual clutter suppression. The attribute hierarchy model was improved by replacing the proportion scale with the score scale, and the index system was weighted by the improved attribute hierarchy model. In the evaluation model, the grey correlation analysis method was introduced, and the grey correlation coefficient was used to replace the Euclidean distance. The improved technique for order preference by similarity to the ideal solution method was used to rank the performance of different intelligent radar schemes, and the optimal intelligent radar technology scheme was screened out. The effectiveness of this method was verified by the working data of intelligent radars.

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