Research on Combat Effectiveness Evaluation of Anti-group Target Based on Improved Information Entropy Method
BU Xiaodong1， ZHOU Zhichao2， XU Zhensen1， ZHANG Jun1
1. Key Laboratory of Unsteady Aerodynamics and Flow Control， Ministry of Industry and Information Technology， Nanjing University of Aeronautics and Astronautics， Nanjing 210016， Jiangsu， China；
2. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China
Abstract：With the continuous innovation of information technology, the UAV cluster system will occupy a dominant position in the future battlefield. Analyzing and studying its defense strategy and interception means is particularly important for China’s unmanned technology innovation and system construction. Combining with the requirements of anti-group combat missions and based on the OODA cycle theory, this paper establishes a combat network model. It constructs an index system of anti-UAV cluster combat capability. Using the improved information entropy method, it proposes an efficient and accurate combat effectiveness evaluation method. Through the effectiveness evaluation of an anti-UAV cluster combat process, this paper verifies the feasibility of this method.
卜晓东, 周志超, 徐振森, 张军. 基于改进信息熵法的反集群目标作战效能评估研究[J]. 空天防御, 2021, 4(1): 14-18.
BU Xiaodong, ZHOU Zhichao, XU Zhensen, ZHANG Jun . Research on Combat Effectiveness Evaluation of Anti-group Target Based on Improved Information Entropy Method. Air & Space Defense, 2021, 4(1): 14-18.
