基于改進離散布谷鳥算法的干擾資源分配研究

李東生; 高楊; 雍愛霞

doi:10.11999/JEIT150726

基于改進離散布谷鳥算法的干擾資源分配研究

doi: 10.11999/JEIT150726

基金項目:

國家自然科學基金(61179036)

計量
- 文章訪問數(shù): 1665
- HTML全文瀏覽量: 147
- PDF下載量: 389
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-06-15
- 修回日期: 2015-11-27
- 刊出日期: 2016-04-19

Jamming Resource Allocation via Improved Discrete Cuckoo Search Algorithm

Funds:

The National Natural Science Foundation of China (61179036)

摘要

摘要: 該文對二次雷達機制的協(xié)同式敵我識別系統(tǒng)的干擾資源分配問題進行研究，將離散布谷鳥算法(Discrete Cuckoo Search, DCS)引入敵我識別系統(tǒng)的干擾資源分配問題。首先給出協(xié)同式敵我識別系統(tǒng)的干擾效果評估指標，建立干擾資源分配模型，將模型簡化為一對一、多對少模型，使用DCS算法求解模型。針對Levy飛行后期出現(xiàn)搜索速度慢和精度低的問題，將遺傳算法中的交叉與變異操作引入DCS算法得到改進的離散布谷鳥算法(Improved Discrete Cuckoo Search, DCS)，用以求解分配模型。仿真分析表明：所提干擾效果評估指標可以合理地評估干擾效果；IDCS算法比IDCS算法收斂更快、耗時更短；IDCS算法與做出相應改進的遺傳算法(Improved Genetic Algorithm, IGA)相比具有更好的尋優(yōu)能力。
- 協(xié)同式敵我識別 /
- 干擾資源 /
- 資源分配 /
- 改進離散布谷鳥算法
Abstract: Jamming resource distribution of cooperative identification friend or foe via secondary radar is researched by introducing Discrete Cuckoo Search (DCS) algorithm. The jamming effect evaluation rules and indexes are given, and the aim function and distribution model are given. According to the analysis, distribution models can be changed into one-to-one model and much-to-little model, which can be solved by DCS algorithm. Owing to the slow searching speed and low precision in the Levy flights later stage, the crossover and variation are introduced into DCS algorithm, which gets Improved Discrete Cuckoo Search (IDCS) algorithm. The simulation results show that the jamming effect judging index is effective, the IDCS algorithm has a faster convergence speed than the DCS algorithm, and it has a better searching optimization speed than Improved Genetic Algorithm (IGA).
- Cooperation identification friend or foe /
- Jamming resource /
- Resource distribution /
- Improved Discrete Cuckoo Search (IDCS) algorithm

HTML全文

參考文獻(27)

但波, 姜永華, 李敬軍, 等. 基于空時融合隱馬爾科夫模型的艦艇編隊目標識別方法[J].電子與信息學報, 2015, 37(4): 926-932. doi: 10.11999/JEIT140589.

DAN Bo, JIANG Yonghua, LI Jingjun, et al. Ship formation target recognition based on spatial and temporal fusion hidden Markov model[J].Journal of Electronics Information Technology, 2015, 37(4): 926-932. doi: 10.11999/ JEIT140589.

孟慶昕, 楊士莪, 于盛齊. 基于波形結構特征和支持向量機的水面目標識別[J]. 電子與信息學報, 2015, 37(9): 2117-2123. doi: 10.11999/JEIT150139.

MENG Qingxin, YANG Shie, and YU Shengqi. Recognition

of marine acoustic target signals based on wave structure and support vector machine[J]. Journal of Electronics Information Technology, 2015, 37(9): 2117-2123. doi: 10. 11999/JEIT150139.

胡瑩, 黃永明, 俞菲, 等. 多用戶大規(guī)模MIMO系統(tǒng)能效資源分配算法[J]. 電子與信息學報, 2015, 37(9): 2198-2203. doi: 10.11999/JEIT150088.

HU Ying, HUANG Yongming, YU Fei, et al. Energy-efficient resource allocation based on multi-user massive MIMO system[J]. Journal of Electronics Information Technology, 2015, 37(9): 2198-2203. doi: 10.11999/JEIT150088.

沈陽, 陳永光, 李修和. 基于0-1規(guī)劃的雷達干擾資源優(yōu)化分配研究[J]. 兵工學報, 2007, 28(5): 528-532.

SHEN Yang, CHEN Yongguang, and LI Xiuhe. Research on optimal distribution of radar jamming resource based on zero-one programming[J]. Acta Armamentarii, 2007, 28(5): 528-532.

呂永勝, 王樹宗, 王向偉, 等. 基于貼近度的雷達干擾資源分配策略研究[J]. 系統(tǒng)工程與電子技術, 2005, 27(11): 1893-1894.

LV Yongsheng, WANG Shuzong, WANG Xiangwei, et al. Study on the allocation tactics for radar jamming resources based on close degree[J]. Systems Engineering and Electronics, 2005, 27(11): 1893-1894.

劉以安, 倪天權, 張秀輝, 等. 模擬退火算法在雷達干擾資源優(yōu)化分配中的應用[J]. 系統(tǒng)工程與電子技術, 2009, 31(8): 1914-1917.

LIU Yian, NI Tianquan, ZHANG Xiuhui, et al. Application of simulated annealing algorithm in optimizing allocation of radar jamming resources[J]. Systems Engineering and Electronics, 2009, 31(8): 1914-1917.

張養(yǎng)瑞, 李云杰, 高梅國. 協(xié)同干擾資源優(yōu)化分配模型及算法[J]. 系統(tǒng)工程與電子技術, 2014, 36(9): 1744-1749.

ZHANG Yangrui, LI Yunjie, and GAO Meiguo. Optimal assignment model and solution of cooperative jamming resources[J]. Systems Engineering and Electronics, 2014, 36(9): 1744-1749.

ZHAI X F and ZHUANG Y. IIGA based algorithm for cooperative jamming resource allocation[C]. Asia Pacific Conference on Postgraduate Research, Shanghai, China, 2009: 368-371.

XUE Y, ZHUANG Y, NI T Q, et al. One improved genetic algorithm applied in the problem of dynamic jam resource scheduling with multi-objective and multi-constraint[C]. IEEE 5th International Conference on Bio-inspired Computing: Theories and Applications, Shanghai, China, 2010: 708-712.

XUE Y, ZHUANG Y, NI T Q, et al. Self-adaptive learning based discrete differential evolution algorithm for solving CJWTA problem[J]. Journal of Systems Engineering and Electronics, 2014, 25(1): 59-68.

YANG X S and DEB S. Cuckoo search via levy flights[C]. Proceedings of IEEE World Congress on Nature Biological Inspired Computing, India, 2009: 210-214.

YANG X S and DEB S. Multi objective cuckoo search for design optimization[J]. Computers Operations Research, 2011, 10(9): 1-9.

ZHENG H Q and ZHOU Y Q. A discrete binary version of cuckoo search for knapsack problems[J]. Advances in Information Science and Service Sciences, 2012, 4(18): 331-339.

OUYANG X X, ZHOU Y Q, LUO Q F, et al. A novel discrete cuckoo search algorithm for spherical traveling salesman problem[J]. Applied Mathematical Information Sciences, 2013, 7(2): 777-784.

丁鋒, 黃建沖, 施運山. 基于脈沖信息的敵我識別信號快速分選識別研究[J]. 艦船電子對抗, 2014, 37(1): 5-10.

DING Feng, HUANG Jianchong, and SHI Yunshan. Research into fast sorting and recognition of IFF signal based on pulse information[J]. Shipboard Electronic Countermeasure, 2014, 37(1): 5-10.

宋海方, 吳華, 程嗣怡, 等. 多波束干擾系統(tǒng)干擾資源綜合管理算法[J]. 兵工學報, 2013, 34(3): 332-338.

SONG Haifang, WU Hua, CHENG Siyi, et al. Integrated management algorithm of jamming resource in multi-beam jamming systems[J]. Acta Armamentarii, 2013, 34(3): 332-338.

KENNEDY J and EBERHART R C. A discrete version of the particle swarm algorithm[C]. IEEE International Conference on Systems, Man, and Cybernetics, Piscataway, 1997: 4104-4109.

施引文獻

資源附件(0)

訪問統(tǒng)計