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基于信息熵和层次分析法的低空慢速小目标威胁评估方法

Threat Assessment Method of Low Altitude Slow Small (LSS) Targets Based on Information Entropy and AHP.

作者信息

Luo Ruining, Huang Shucai, Zhao Yan, Song Yafei

机构信息

Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China.

出版信息

Entropy (Basel). 2021 Sep 30;23(10):1292. doi: 10.3390/e23101292.

Abstract

In order to deal with the new threat of low altitude slow small (LSS) targets in air defense operations and provide support for LSS target interception decision, we propose a simple and reliable LSS target threat assessment method. Based on the detection capability of LSS targets and their threat characteristics, this paper proposes a threat evaluation factor and threat degree quantization function in line with the characteristics of LSS targets. LSS targets not only have the same threat characteristics as traditional air targets but also have the unique characteristics of flexible mobility and dynamic mission planning. Therefore, we use analytic hierarchy process (AHP) and information entropy to determine the subjective and objective threat factor weights of LSS targets and use the optimization model to combine them to obtain more reliable evaluation weights. Finally, the effectiveness and credibility of the proposed method are verified by experimental simulation.

摘要

为应对防空作战中低空慢速小目标的新威胁,为低空慢速小目标拦截决策提供支持,提出一种简单可靠的低空慢速小目标威胁评估方法。基于低空慢速小目标的探测能力及其威胁特性,提出符合低空慢速小目标特性的威胁评估因子和威胁度量化函数。低空慢速小目标不仅具有与传统空中目标相同的威胁特性,还具有机动灵活、任务规划动态的独特特性。因此,采用层次分析法(AHP)和信息熵确定低空慢速小目标的主观和客观威胁因子权重,并利用优化模型将二者相结合,得到更可靠的评估权重。最后,通过实验仿真验证了所提方法的有效性和可信度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/749f/8534897/0e60ab601737/entropy-23-01292-g001.jpg

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