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

Abstract

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

CLC Number:

E955

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.

Figures/Tables 17

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References 31

1	XIAO B S. The development review of airborne fire control radar technology[C]//Proc. of the China Automation Congress, 2021: 4502-4507.
2	JAMES J . A maritime conversation with America[J]. Orbis, 2022, 66 (2): 166- 183. doi: 10.1016/j.orbis.2022.02.006
3	LIN D. Software and hardware implementation of signal processing for shipborne fire control radar[D]. Xi'an: Xidian University, 2019.
4	LIEF L. Design considerations for a modern naval fire control radar[C]//Proc. of the IEEE Radar Conference, 2010: 615-619.
5	DAI X R , SHI C G , WANG Z W , et al. Coalition game theore-tic power allocation strategy for multi-target detection in distribu- ted radar networks[J]. Remote Sensing, 2023, 15 (15): 3804. doi: 10.3390/rs15153804
6	Assistant Secretary of the Navy for Research. Updated responsibilities for management of naval integrated fire control-counter air (NIFC-CA)[R]. Washington, DC: Joint Memorandum, 2002.
7	YAN J K . Resource allocation for search and track application in phased array radar based on Pareto bi-objective optimization[J]. IEEE Trans.on Vehicular Technology, 2019, 68 (4): 3487- 3499. doi: 10.1109/TVT.2019.2894960
8	LIU D . Adaptive scheduling algorithm based on CPI and impact of tasks for multifunction radar[J]. IEEE Sensors Journal, 2019, 19 (23): 11205- 11212. doi: 10.1109/JSEN.2019.2936659
9	王岩松, 韩星, 陈春, 等. 综合优先级下相控阵火控雷达自适应调度算法[J]. 火控雷达技术, 2023, 52 (1): 100- 109.
	WANG Y S , HAN X , CHEN C , et al. A comprehensive priority- based adaptive scheduling algorithm for phased-array fire control radar[J]. Fire Control Radar Technology, 2023, 52 (1): 100- 109.
10	周克强, 王海川. 基于相控阵雷达的舰炮联合反导技术[J]. 火力与指挥控制, 2019, 44 (6): 159- 163.
	ZHOU K Q , WANG H C . The anti-missile research of combined naval gun system based on phased array radar[J]. Fire Control & Command Control, 2019, 44 (6): 159- 163.
11	闫明松, 魏旭鸿. 海上编队舰载雷达协同探测技术研究[J]. 舰船电子对抗, 2021, 44 (4): 7-11, 120.
	YAN M S , WEI X H . Research into the cooperative detection technology of shipborne radar for sea formation[J]. Shipboard Electronic Countermeasure, 2021, 44 (4): 7-11, 120.
12	JIANG W, QI Z X, YE Z, et al. Research on cooperative detection technology of networked radar based on data fusion[C]// Proc. of the 2nd China International SAR Symposium, 2021.
13	ZHOU S H, ZENG D X, LI H B, et al. Maneuvering target tracking in multi-radar cooperative detection data fusion[C]//Proc. of the 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 2022.
14	LI Z Q. Design and reliability evaluation of simulation system for fire control radar network[C]//Proc. of the International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, 2012: 1314-1317.
15	GARCIA N , HAIMOVICH M A , COULON M , et al. Resource allocation in MIMO radar with multiple targets for non-coherent localization[J]. IEEE Trans.on Signal Processing, 2014, 62 (10): 2656- 2666. doi: 10.1109/TSP.2014.2315169
16	WANG K L. Research and implementation of shipboard phased array radar target tracking algorithm[D]. Xi'an: Xidian university, 2021.
17	LUO H , SHANG C X , HAN Z Z . HLA-based anti-reconnaissance fire-control radar network data fusion and control simulation system development[J]. Advanced Materials Research, 2014, 3181 (926-930): 2486- 2489.
18	SHI C G , WANG Y J , SANA S . Joint transmit resource mana-gement and waveform selection strategy for target tracking in distributed phased array radar network[J]. IEEE Trans.on Aerospace and Electronic Systems, 2022, 58 (4): 2762- 2778. doi: 10.1109/TAES.2021.3138869
19	LI T T , MENG T K , MENG G L , et al. Formation optimization of airborne radar coordinated detection system using an improved artificial fish swarm algorithm[J]. Scientific Reports, 2024, 14 (1): 248. doi: 10.1038/s41598-023-50521-6
20	GRANT C J . Air and missile defense: transformations for 21st-century warfighting[J]. Johns Hopkins APL Technical Digest, 2020, 35 (2): 83- 89.
21	YING Z. Research on dynamic anti-jamming strategy of shipboard fire control radar[C]//Proc. of the International Conference on Computer, Artificial Intelligence, and Control Engineering, 2022.
22	NICHOLAS A O. Distributed kill chain-drawing insight for mosaic from the immune system and navy[R]. Santa Monica: Library of Congress Cataloging-in-Publication, 2021.
23	张财生, 司沈闯. 美军预警机与舰载雷达协同预警探测[J]. 指挥控制与仿真, 2020, 42 (3): 39- 41.
	ZHANG C S , SI S C . Research on cooperative early warning detection of early warning aircraft and shipborne radar[J]. Command Control & Simulation, 2020, 42 (3): 39- 41.
24	CHENG Z L. Adaptive resource optimization management of phased array radar[D]. Chengdu: University of Electronic Science and Technology of China, 2022.
25	MOO P W , DING Z . Coordinated radar resource management for networked phased array radars[J]. IET Radar, Sonar & Navigation, 2015, 9 (8): 1009- 1020.
26	TUNCER O , CIRPAN H A . A networked radar resource mana- gement approach utilizing target priority and maneuver for cooperative air defense fire control radars[J]. IEEE Access, 2023, 11 (1): 136279- 136291.
27	TANG J C. Research on resource scheduling method of multifunctional radar network[D]. Chengdu: University of Electronic Science and Technology of China, 2021.
28	宋晓程, 李陟, 任海伟, 等. 目标动态威胁度驱动的分布式组网相控阵雷达资源优化分配算法[J]. 雷达学报, 2023, 12 (3): 629- 641.
	SONG X C , LI Z , REN H W , et al. Threat-driven resource allocation algorithm for distributed netted phased array radars[J]. Journal of Radars, 2023, 12 (3): 629- 641.
29	SHI C , JING D , SALOUS S , et al. Collaborative trajectory planning and resource allocation for multi-target tracking in airborne radar networks under spectral coexistence[J]. Remote Sensing, 2023, 15 (13): 3386.
30	WANG F J, DING X Y, KONG M. Application of multi-sensor track fusion technology in fire control radar network[C]//Proc. of the IEEE 11th International Conference on Electronic Measurement & Instruments, 2013: 563-567.
31	HE J, ZHU S R, SUN X Q. Research on flight scheduling of UAV in cooperation with passive radar for detection based on improved PSO algorithm[C]//Proc. of the 4th International Conference on Computer Science and Communication Technology, 2023.

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

[1]	Daozhi WEI, Zhaoyu ZHANG, Jiahao XIE, Ning LI. Multi-sensor cross cueing technique based on improved Actor-Critic algorithm [J]. Systems Engineering and Electronics, 2023, 45(6): 1624-1632.
[2]	Liqiang XIN, Chao ZHANG, Lingzhi ZHAO, Jianping LIU. Conflict avoidance scheduling algorithm for complex associated TT & C requirements [J]. Systems Engineering and Electronics, 2022, 44(5): 1581-1588.
[3]	Wenge XING, Chuanrui ZHOU, Cheng ZHOU. Research on key technology of detection and communication integration for phased array radar [J]. Systems Engineering and Electronics, 2022, 44(10): 3053-3058.
[4]	Zhihai YAO, Jianping LIU, Jianping WANG, Wei LI, Bo REN. Evaluation index system of ground-based TT&C resource scheduling [J]. Systems Engineering and Electronics, 2020, 42(8): 1751-1758.
[5]	Yi DU, Kefei LIAO, YANG Shan OU, Yijun CHEN. Two-dimensional resource adaptive scheduling algorithm for ISAR imaging system [J]. Systems Engineering and Electronics, 2020, 42(2): 339-345.
[6]	WANG Xun, YAO Peiyang, ZHANG Jieyong, WAN Lujun, JIAO Zhiqiang, CHEN Jieyu. Research on problem of Holonic-C2 organization resource scheduling [J]. Systems Engineering and Electronics, 2019, 41(3): 564-570.
[7]	DING Ding, AI Lihua, LUO Siwei, XU Baomin. User behavior-based resource scheduling mechanism for cloud computing with feedback control [J]. Systems Engineering and Electronics, 2018, 40(1): 209-216.
[8]	ZHAO Xin-shuang, WANG Hou-xiang, CAI Yi-chao. Resource scheduling method in antimissile early warning campaign [J]. Systems Engineering and Electronics, 2015, 37(6): 1300-1305.
[9]	ZHU Hong-wei, HE You. Joint estimation of target height and systematic error for two dimensional radar network [J]. Systems Engineering and Electronics, 2013, 35(9): 1861-1866.
[10]	YE Chao-mou, DING Jian-jiang, Lü Jin-jian, ZHANG Wei. Resource control function model for radar networking based on modalization [J]. Systems Engineering and Electronics, 2013, 35(9): 1979-1982.
[11]	LING Xiao-dong, WU Xiao-yue, LIU Bing, XUE Guo-hu, WU Jin-mei. Study on the CSP model of satellite TT&C resource scheduling [J]. Journal of Systems Engineering and Electronics, 2012, 34(11): 2275-2279.
[12]	DUAN Ke-qing, XIE Wen-chong, WANG Yong-liang, ZHANG Zeng-hui. Clutter modeling and suppression for airborne fire control radar with conformal antennas array [J]. Journal of Systems Engineering and Electronics, 2011, 33(8): 1738-1744.
[13]	XU Hong，SHANG Chao-xuan，HAN Zhuang-zhi，HE Qiang，ZHANG Xi-hong. Blinking decoying method for countering anti radiation missiles in fire control radar network [J]. Journal of Systems Engineering and Electronics, 2011, 33(5): 1146-.
[14]	LEI Yu, FENG Xin-xi, ZHU Can-bin, LI Bin-bin. Geometric locating fusion algorithm for 2D radar networking [J]. Journal of Systems Engineering and Electronics, 2011, 33(5): 1151-.
[15]	LI Ru-nian, NI Guo-qi, FANG Zhong-jiang. Design and realization of a new fire control radar simulation system [J]. Journal of Systems Engineering and Electronics, 2009, 31(3): 730-732.

Research on resource scheduling of fire control radar networking based on adaptive variable neighborhood search

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