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Optimization of the Risk Functional to Control the Composition and Structure of a Heterogenous Grouping of Detection Sensors in Three-Dimensional Space
Journal of Computer and Systems Sciences International ( IF 0.6 ) Pub Date : 2023-09-30 , DOI: 10.1134/s1064230723020077
V. A. Dyukov , A. M. Kazantsev , I. Yu. Makushev , M. S. Putilin , A. V. Timoshenko

Abstract—

The steady growth in the scale and dynamics of the use of aerial weapons in the course of various conflicts necessitates the formulation and solution of the problems of building realistic systems to detect them. It should be noted that the priorities in the development of detection sensors is changing from solving problems to improve their characteristics to optimization and adaptability in controlling them. As an object, a heterogeneous grouping of sensors, which solves the problem of detecting a moving airborne object, is considered. The subject is the methodology for constructing control models for heterogeneous detection sensors. Based on the analysis of the antagonistic interaction of a heterogeneous grouping and airborne objects, as well as the processes of their functioning, a geometric approach to solve the problem of detecting a moving object (MO) is proposed, which uses an adapted and improved risk functional as one of the possible indicators for the further synthesis of the control algorithms. The practical effectiveness of the application of this functionality is substantiated and compared with other performance indicators through simulation modeling.



中文翻译:

三维空间中检测传感器异构分组的组成和结构控制风险函数的优化

摘要-

在各种冲突中使用航空武器的规模和动态不断增长,需要制定和解决建立实际系统来检测它们的问题。值得注意的是,检测传感器发展的重点正在从解决问题以改善其特性转变为控制它们的优化和适应性。作为一个物体,考虑了异构的传感器分组,它解决了检测移动的空中物体的问题。该主题是构建异构检测传感器控制模型的方法。基于对异质群体与空中物体的对抗性相互作用及其作用过程的分析,提出了一种解决运动物体(MO)检测问题的几何方法,该方法使用经过调整和改进的风险函数作为进一步综合控制算法的可能指标之一。通过仿真建模验证了该功能应用的实际有效性,并与其他性能指标进行了比较。

更新日期:2023-10-01
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