系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (9): 2744-2754.doi: 10.12305/j.issn.1001-506X.2023.09.12
陆德江1,*, 王星1, 陈游1, 胡星2,3
收稿日期:
2022-05-04
出版日期:
2023-08-30
发布日期:
2023-09-05
通讯作者:
陆德江
作者简介:
陆德江 (1998—), 男, 硕士研究生, 主要研究方向为电子对抗、信息感知基金资助:
Dejiang LU1,*, Xing WANG1, You CHEN1, Xing HU2,3
Received:
2022-05-04
Online:
2023-08-30
Published:
2023-09-05
Contact:
Dejiang LU
摘要:
针对飞机编队协同干扰组网雷达系统的资源分配问题, 提出了一种联合目标选择与功率分配的自适应调度(adaptive scheduling method of joint target selection and power allocation, JTAPM)方法, 其核心是通过实时调度干扰机的波束和功率资源, 使得飞机编队对组网雷达系统的协同干扰效能始终保持最优。首先, 根据雷达网不同的工作状态和信息融合规则, 构建基于检测概率和瞄准概率的双因子干扰效能评估函数, 然后考虑干扰资源约束建立关于目标选择和功率分配的双变量非凸优化模型, 并基于此提出了一种结合改进布谷鸟搜索(improved cuckoo search, ICS)算法与KKT(Karush-Kuhn-Tucker, KKT)优化条件的求解方法。最后, 仿真结果证明了所提联合资源自适应调度策略的有效性。
中图分类号:
陆德江, 王星, 陈游, 胡星. 联合多种资源协同干扰组网雷达系统的自适应调度方法[J]. 系统工程与电子技术, 2023, 45(9): 2744-2754.
Dejiang LU, Xing WANG, You CHEN, Xing HU. Adaptive scheduling method of joint multi-resource for cooperative interference of networked radar system[J]. Systems Engineering and Electronics, 2023, 45(9): 2744-2754.
1 |
CHEN W W , CAI Z Y , CHEN R S , et al. Optimizing polyphase sequences for orthogonal netted radar systems[J]. Journal of Systems Engineering and Electronics, 2012, 23 (4): 529- 535.
doi: 10.1109/JSEE.2012.00067 |
2 | 龚树凤, 龙伟军, 贲德, 等. 组网雷达自适应模糊CFAR检测融合算法[J]. 系统工程与电子技术, 2022, 44 (1): 100- 107. |
GONG S F , LONG W J , BEN D , et al. Adaptive fuzzy CFAR detection fusion algorithm for netted radar[J]. Systems Engineering and Electronics, 2022, 44 (1): 100- 107. | |
3 | GENG Z . Evolution of netted radar systems[J]. IEEE Access, 2020, 8 (1): 124961- 124977. |
4 |
DENG H . Discrete frequency-coding waveform design for netted radar systems[J]. IEEE Signal Processing Letters, 2004, 11 (2): 179- 182.
doi: 10.1109/LSP.2003.821693 |
5 |
沈阳, 陈永光, 李修和. 基于0~1规划的雷达干扰资源优化分配研究[J]. 兵工学报, 2007, 28 (5): 528- 532.
doi: 10.3321/j.issn:1000-1093.2007.05.005 |
SHEN Y , CHEN Y G , LI X H . Research on optimal distribution of radar jamming resource based on zero-one programming[J]. Acta Armamentarii, 2007, 28 (5): 528- 532.
doi: 10.3321/j.issn:1000-1093.2007.05.005 |
|
6 | 吕永胜, 王树宗, 王向伟, 等. 基于贴近度的雷达干扰资源分配策略研究[J]. 系统工程与电子技术, 2005, 27 (11): 79-80, 160. |
LYU Y S , WANG S Z , WANG X W , et al. Study on the allocation tactics for radar jamming resources based on close degree[J]. Systems Engineering and Electronics, 2005, 27 (11): 79-80, 160. | |
7 |
任松, 司长哲. 雷达干扰机分配的模糊多属性动态规划模型[J]. 系统工程与电子技术, 2008, 30 (10): 1909- 1913.
doi: 10.3321/j.issn:1001-506X.2008.10.023 |
REN S , SI C Z . Fuzzy multi-attribute dynamic programming model for radar's disturbing machine allocation[J]. Systems Engineering and Electronics, 2008, 30 (10): 1909- 1913.
doi: 10.3321/j.issn:1001-506X.2008.10.023 |
|
8 | 柳向, 李东生, 胡瑞. 改进遗传算法在协同干扰资源分配中的应用[J]. 探测与控制学报, 2018, 40 (5): 69- 75. |
LIU X , LI D S , HU R . Application of improved genetic algorithm in cooperative jamming resource assignment[J]. Journal of Detection & Control, 2018, 40 (5): 69- 75. | |
9 |
何凡, 祁世民, 谢贵武, 等. 改进蚁群算法求解多目标雷达干扰资源优化分配[J]. 火力与指挥控制, 2014, 39 (6): 111- 114.
doi: 10.3969/j.issn.1002-0640.2014.06.029 |
HE F , QI S M , XIE G W , et al. Improved ant colony algorithm to solve multi-objective optimization of radar interference resource distribution[J]. Fire Control & Command Control, 2014, 39 (6): 111- 114.
doi: 10.3969/j.issn.1002-0640.2014.06.029 |
|
10 |
戴少怀, 杨革文, 李旻, 等. 改进粒子群算法的组网雷达协同干扰资源分配[J]. 航天电子对抗, 2020, 36 (4): 29-34, 45.
doi: 10.3969/j.issn.1673-2421.2020.04.007 |
DAI S H , YANG G W , LI M , et al. Cooperative jamming resource allocation of networked radar based on improved particle swarm optimization algorithm[J]. Aerospace Electronic Warfare, 2020, 36 (4): 29-34, 45.
doi: 10.3969/j.issn.1673-2421.2020.04.007 |
|
11 | 吴华, 史忠亚, 沈文迪, 等. 基于IFS和IPSO算法的干扰资源分配方法[J]. 北京航空航天大学学报, 2017, 43 (12): 2370- 2376. |
WU H , SHI Z Y , SHEN W D , et al. Interference resource allocation method based on IFS and IPSO algorithms[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43 (12): 2370- 2376. | |
12 | 王书剑, 李惠东. 改进灰狼算法在干扰资源分配中的应用[J]. 应用科技, 2021, 48 (2): 54-57, 99. |
WANG S J , LI H D . Research on improved gray wolf algorithm in interference resource allocation[J]. Applied Science and Technology, 2021, 48 (2): 54-57, 99. | |
13 | 柳向, 李东生, 吴世俊. 改进布谷鸟算法在协同干扰资源分配中的应用[J]. 现代雷达, 2019, 41 (2): 84- 90. |
LIU X , LI D S , WU S J . Application of improved cuckoo search algorithm in optimization assignment for cooperative jamming resources allocation[J]. Modern Radar, 2019, 41 (2): 84- 90. | |
14 | 李东生, 高杨, 雍爱霞. 基于改进离散布谷鸟算法的干扰资源分配研究[J]. 电子与信息学报, 2016, 38 (4): 899- 905. |
LI D S , GAO Y , YONG A X . Jamming resource allocation via improved discrete cuckoo search algorithm[J]. Journal of Electronics & Information Technology, 2016, 38 (4): 899- 905. | |
15 | 韩鹏, 卢俊道, 王晓丽. 利用于博弈论的雷达有源干扰资源分配算法[J]. 现代防御技术, 2018, 46 (4): 53- 59. |
HAN P , LU J D , WANG X L . Radar active jamming resource assignment algorithm based on game theory[J]. Modern Defense Technology, 2018, 46 (4): 53- 59. | |
16 | CHEN W Q, WANG J B, WANG X J, et al. Detection probability analysis of airborne radar for marine target[C]//Proc. of the IEEE 6th International Symposium on Microwave, Antenna, Propagation, and EMC Technologies, 2015: 730-733. |
17 | RAM S S, SINGH G, GHATAK G. Estimating radar detection coverage probability of targets in a cluttered environment using stochastic geometry[C]//Proc. of the IEEE International Radar Conference, 2020: 665-670. |
18 | 张养瑞, 高梅国, 罗皓月, 等. 基于检测概率的雷达网协同干扰效果评估方法[J]. 系统工程与电子技术, 2015, 37 (8): 1778- 1786. |
ZHANG Y R , GAO M G , LUO H Y , et al. Evaluation method of cooperative jamming effect on radar net based on detection probability[J]. Systems Engineering and Electronics, 2015, 37 (8): 1778- 1786. | |
19 | SHNIDMAN D A . Determination of required SNR values[J]. IEEE Trans.on Aerospace and Electronic Systems, 2002, 38 (3): 1059- 1064. |
20 | 罗金亮, 金家才, 王雷, 等. 战役性联合压制作战远程支援干扰部署优化[J]. 系统工程与电子技术, 2017, 39 (5): 1042- 1050. |
LUO J L , JIN J C , WANG L , et al. Optimal deployment of distant support jamming formation in campaign joint suppress enemy air defense systems operation[J]. Systems Engineering and Electronics, 2017, 39 (5): 1042- 1050. | |
21 | SHI C G , DING L T , WANG F , et al. Joint target assignment and resource optimization framework for multitarget tracking in phased array radar network[J]. IEEE Systems Journal, 2021, 15 (3): 4379- 4390. |
22 | ABDEL-BASSET M , HESSIN A N , ABDEL-FATAH L . A comprehensive study of cuckoo-inspired algorithms[J]. Neural Computing and Applications, 2018, 29 (2): 345- 361. |
23 | SALESI S, COSMA G. A novel extended binary cuckoo search algorithm for feature selection[C]//Proc. of the 2nd International Conference on Knowledge Engineering and Applications, 2018: 6-12. |
24 | OUAARAB A , AHIOD B , YANG X S . Discrete cuckoo search algorithm for the travelling salesman problem[J]. Neural Computing and Applications, 2014, 24 (7-8): 1659- 1669. |
25 | YANG X S , DEB S , MISHRA S K . Multi-species cuckoo search algorithm for global optimization[J]. Cognitive Compotation, 2019, 10 (6): 1085- 1095. |
26 | ZHANG M Q , WANG H , CUI Z H , et al. Hybrid multi-objective cuckoo search with dynamical local search[J]. Memetic Computing, 2017, 10 (2): 199- 208. |
27 | TANG H L , XUE F . Cuckoo search algorithm with different distribution strategy[J]. International Journal of Bio-Inspired Computation, 2019, 13 (4): 234- 241. |
28 | HOUGARDY S , ZAISER F , ZHONG X H . The approximation ratio of the 2-opt heuristic for the metric traveling salesman pro-blem[J]. Operations Research Letters, 2020, 48 (4): 401- 404. |
29 | BABU R L , BALASUBRAMANIE P . Fuzzy rule selection using hybrid artificial bee colony with 2-opt algorithm for MANET[J]. Mobile Networks and Applications, 2020, 25 (2): 585- 595. |
30 | BOYD S , LIEVEN V . Convex optimization[M]. Cambridge: Cambridge University Press, 2004. |
31 | 张大琳, 易伟, 孔令讲. 面向组网雷达干扰任务的多干扰机资源联合优化分配方法[J]. 雷达学报, 2021, 10 (4): 595- 606. |
ZHANG D L , YI W , KONG L J . Optimal joint allocation of multi-jammer resources for jamming netted radar system[J]. Journal of Radars, 2021, 10 (4): 595- 606. |
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