基于自适应变邻域搜索的火控雷达组网资源调度研究

doi:10.12305/j.issn.1001-506X.2025.02.16

摘要/Abstract

摘要：

在海上舰艇编队防空作战中, 传统火控雷达由于实行单目标对单雷达跟踪策略, 难以满足复杂的现代作战需求。针对该问题, 提出一种基于自适应变邻域搜索(adaptive variable neighborhood search, AVNS)的火控雷达组网资源调度方法。以海上舰艇编队火控雷达资源为基础, 考虑雷达剩余通道数、雷达探测范围和预测航迹跟踪覆盖率约束, 构建以资源目标距离、有效航迹覆盖率和目标威胁度为目标函数的资源调度模型, 设计基于AVNS的组网策略算法。在设置的两种海上舰艇编队模拟队形场景中, 与传统规则算法和变邻域搜索(variable neighborhood search, VNS)算法对比, 验证所提方法的合理性和有效性。

关键词: 海上防空, 资源调度, 自适应变邻域搜索, 雷达组网, 火控雷达

Abstract:

In naval warship formation air defense combats, traditional fire control radars, due to its implemen- tation of a single target to single radar tracking strategy, are difficult to meet complex modern combat needs. To address this issue, a fire control radar networking resource scheduling method based on adaptive variable neighborhood search (AVNS) is proposed. Based on the fire control radar resources of naval warship forma-tions, considering the constraints of remaining radar channels, radar detection range, and predicted trajectory tracking coverage rate, a resource scheduling model is constructed with the objective functions of resource target distance, effective trajectory coverage rate, and target threat degree. A networking strategy algorithm based on AVNS is designed. The rationality and effectiveness of the proposed method is verified by comparing it with traditional rule algorithms and variable neighborhood search (VNS) algorithms in two naval warship formation simulated formation scenarios.

Key words: naval air defense, resource scheduling, adaptive variable neighborhood search (AVNS), radar networking, fire control radar

中图分类号:

E955

汪达旺, 陆志沣, 伍国华. 基于自适应变邻域搜索的火控雷达组网资源调度研究[J]. 系统工程与电子技术, 2025, 47(2): 496-507.

Dawang WANG, Zhifeng LU, Guohua WU. Research on resource scheduling of fire control radar networking based on adaptive variable neighborhood search[J]. Systems Engineering and Electronics, 2025, 47(2): 496-507.

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案例	模拟场景	案例	模拟场景	来袭目标数量	H
E1	场景1	E2	场景2	5	20
E3	场景1	E4	场景2	10	20
E5	场景1	E6	场景2	15	30
E7	场景1	E8	场景2	20	00
E9	场景1	E10	场景2	25	40
E11	场景1	E12	场景2	30	40
E13	场景1	E14	场景2	35	50
E15	场景1	E16	场景2	40	50
E17	场景1	E18	场景2	45	60
E19	场景1	E20	场景2	50	60

编号	待跟踪目标数量/个	可拦跟踪覆盖率/%
编号	待跟踪目标数量/个	规则算法	VNS雷达组网资源调度算法	AVNS雷达组网资源调度算法	较规则算法提升比	较VNS提升比
1	5	100.00	100.00	100.00	0.00	0.00
2	10	89.34	92.34	94.49	5.15	2.15
3	15	79.52	85.07	88.16	8.64	3.09
4	20	65.40	75.19	79.02	13.62	3.83
5	25	55.83	68.21	72.33	16.50	4.12
6	30	45.09	60.53	65.43	20.34	4.90
7	35	39.58	55.33	60.07	20.49	4.74
8	40	34.29	49.74	52.79	18.50	3.05
9	45	29.61	44.31	48.43	18.82	4.12
10	50	26.88	41.06	45.39	18.51	4.33

编号	可拦跟踪时长/s	跟踪时长/s			可拦跟踪覆盖率/%
编号	可拦跟踪时长/s	规则算法	VNS雷达组网资源调度算法	AVNS雷达组网资源调度算法	规则算法	VNS雷达组网资源调度算法	AVNS雷达组网资源调度算法
1	320	320	320	320	100.00	100.00	100.00
2	318	318	318	318	100.00	100.00	100.00
3	316	200	200	316	63.29	63.29	100.00
4	314	200	200	314	63.69	63.69	100.00
5	772	772	772	700	100.00	100.00	90.67
6	770	770	770	700	100.00	100.00	90.91
7	768	0	396	495	0.00	51.56	64.45
8	766	0	0	0	0.00	0.00	0.00
9	330	330	330	330	100.00	100.00	100.00
10	328	328	328	328	100.00	100.00	100.00
11	326	326	326	326	100.00	100.00	100.00
12	754	754	654	754	100.00	86.74	100.00
13	752	652	752	680	86.70	100.00	90.43
14	750	0	0	0	0.00	0.00	0.00
15	370	180	180	370	48.65	48.65	100.00
16	368	368	368	368	100.00	100.00	100.00
17	366	366	366	366	100.00	100.00	100.00
18	784	684	784	784	87.24	100.00	100.00
19	782	682	782	782	87.21	100.00	100.00
20	780	680	780	780	87.18	100.00	100.00

编号	待跟踪目标数量/个	目标可拦跟踪覆盖率/%
编号	待跟踪目标数量/个	规则算法	VNS雷达组网资源调度算法	AVNS雷达组网资源调度算法	较规则算法提升比	较VNS提升比
1	5	100.00	100.00	100.00	0.00	0.00
2	10	94.42	94.92	96.17	1.75	1.25
3	15	85.71	90.33	92.27	6.56	1.94
4	20	74.95	82.51	85.06	10.11	2.55
5	25	62.79	76.36	79.30	16.51	2.94
6	30	51.92	68.79	71.22	19.30	2.43
7	35	45.09	62.30	66.08	20.99	3.78
8	40	39.41	55.77	59.76	20.35	3.99
9	45	35.07	49.19	53.38	18.31	4.19
10	50	30.58	45.26	48.53	17.95	3.27

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