基于目标暴露区的地面防空兵力最佳配置区规划

doi:10.12305/j.issn.1001-506X.2024.01.23

摘要/Abstract

摘要：

利用远距离支援干扰存在的目标暴露区, 通过优化配置地面防空兵力, 可有效降低干扰对我方地面防空作战的不利影响。在“三点一线”干扰模式分析的基础上, 利用雷达干扰方程得到目标暴露区, 提出了基于目标暴露区的地面防空兵力可配置区及横向、纵向兵力配置间距计算方法, 并根据雷达有效干扰扇面, 得到地面防空兵力干扰威胁指数计算模型。在此基础上, 构建以干扰威胁指数总量最小为目标函数, 以兵力可配置区及兵力配置间距为约束条件的远距离支援干扰下地面防空兵力最佳配置规划模型。采用基于线性递减权重函数的改进萤火虫优化(improved glowworm swarm optimization, IGSO)算法对其求解并进行了有效性仿真验证, 结果表明所提出的规划模型具有较好的理论价值。

关键词: 目标暴露区, 地面防空兵力, 最佳配置区, 改进萤火虫优化算法

Abstract:

The optimal allocation of ground air defense force in the target exposure area where long-range support jamming can effectively reduce the adverse impact of interference on our ground air defense operations. Based on the analysis of "three points one line" jamming mode, the radar jamming equation is used to obtain the target exposure area. The ground air defense force allocation area and the calculation method of horizontal and longitudinal force allocation distance are proposed for the target exposure area. According to the radar effective jamming sector, the calculation model of ground air defense force jamming threat index is obtained. On this basis, the optimal allocation planning model of ground air defense force under long-range support jamming is constructed, which takes the minimum total interference threat index as the objective function and the force allocation area and the force allocation distance as the constraints. An improved glowworm swarm optimization (IGSO) algorithm based on linear decreasing weight function is used to solve the model and its effectiveness is verified by simulation. The results show that the proposed programming model has good theoretical value.

Key words: target exposure area, ground air defense force, optimal allocation area, improved glowworm swarm optimization (IGSO) algorithm

中图分类号:

TN972

曹原, 寇英信, 李勇祥. 基于目标暴露区的地面防空兵力最佳配置区规划[J]. 系统工程与电子技术, 2023, 46(1): 196-204.

Yuan CAO, Yingxin KOU, Yongxiang LI. Optimal allocation area planning of ground air defense forces based on target exposure area[J]. Systems Engineering and Electronics, 2023, 46(1): 196-204.

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编号	参数
编号	P_j/kW	G_j/dB	γ_j	σ/m²
1	4	20	0.5	5
2	2	25	0.5	5

编号	参数
编号	P_t/kW	G_t/dB	k_j	Δf_j/Δf_r
1	800	40	10	2

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