战役性联合压制作战远程支援干扰部署优化

发布时间：2018-05-09 04:07

本文选题：空中压制集群 + 战役性联合压制　；参考：《系统工程与电子技术》2017年05期

【摘要】：远程支援干扰编队是空中压制集群中用于支援火力压制编队突防的"首波"电子干扰力量,对其进行优化部署将有助于提高空中压制集群在其突击航路"前段"的突防效能。然而当前研究成果普遍存在缺乏战术背景及对空中压制集群作战筹划规程不明的问题。缺乏战术背景,致使研究结论出现偏颇或错误;对空中压制集群作战筹划规程不明使得在建模过程中对相关约束把握不全、不准,致使研究结论实用性不强。本文从空中压制集群作战实际出发,依据防空预警雷达网的空情融合规则建立了雷达探测威胁模型;以突防航路被敌雷达网探测的威胁总量为目标函数,建立了远程支援干扰编队部署决策模型;为解决几何解析难以进行模型解算及对广域多参函数进行二进制编码将出现计算效率低等问题,设计了基于二值图像封闭区域检测的实数遗传算法;最后通过实例仿真验证了所构模型的有效性及正确性。
[Abstract]:The long-range support jamming formation is the "first wave" electronic jamming force used to support the penetration of the fire suppression formation in the air suppression cluster. The optimal deployment of the electronic jamming force will help to improve the penetration efficiency of the air suppression cluster in the "front section" of its assault route. However, the current research results generally lack of tactical background and unclear operational planning procedures for air suppression clusters. The lack of tactical background leads to the bias or error of the research conclusion, and the lack of clear operational planning rules of the air suppression cluster makes it difficult to grasp the relevant constraints in the modeling process, which makes the research conclusions less practical. In this paper, based on the air condition fusion rules of air defense warning radar network, a radar detection threat model is established based on the actual situation of air suppression cluster operations, and the target function is the total number of threats detected by the enemy radar network. The decision model of long-range support jamming formation deployment is established, and in order to solve the problem that geometric analysis is difficult to solve and binary coding of wide-area multi-parameter functions will appear, the computation efficiency is low, and so on. A real genetic algorithm based on binary image closed region detection is designed, and the validity and correctness of the proposed model are verified by an example.
【作者单位】：电子工程学院战术系;
【基金】：国家社会科学基金军事学项目(15GJ003-122,16GJ004-276) 全军军事类研究生资助项目(2015JY251) 安徽省自然科学基金(1308085QF105)资助课题
【分类号】：E844;TN97

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