电光与控制, 2022, 29 (11): 38, 网络出版: 2023-02-10  

针对非均衡样本的雷达字提取算法

A Radar Word Extraction Algorithm for Unbalanced Samples
作者单位
1 航天工程大学,研究生院
2 电子与光学工程系, 北京 101000
摘要
雷达字作为构成雷达短语的基元, 其提取效果的好坏将直接影响后续雷达行为辨识的可信度。针对侦收数据不均衡情况下的雷达字提取问题, 提出一种基于K-means算法改进的K-OPTICS雷达字提取算法。通过构建虚拟聚类中心和簇合并的方法, 使其在各种样本不均衡的仿真场景下仍能取得91.22%以上的提取准确率, 较传统算法具有更好的参数不敏感性。
Abstract
Radar words are the primitives of radar phrase,and the extraction effect of radar words will directly affect the confidence of subsequent radar behaviour recognition.A solution is proposed for the radar word extraction problem in the case of unbalanced detection and acquisition data,i.e.an improved K-OPTICS radar word extraction algorithm based on K-means.By constructing virtual clustering centres and cluster merging,it achieves an extraction accuracy higher than 91.22% under various unbalanced sample simulation scenarios,and has better parameter insensitivity than the traditional algorithm does.
参考文献

[1] VISNEVSKI N A.Syntactic modeling of multi-function radars[D].Hamilton: McMaster University,2005.

[2] KRISHNAMURTHY V,PATTANAYAK K,GOGINENI S, et al.Adversarial radar inference:inverse tracking,identify-ing cognition and designing smart interference[J].IEEE Transactions on Aerospace and Electronic Systems,2021,57(4): 2067-2081.

[3] AHMED S,ALOUINI M.A survey of correlated waveform design for multifunction software radar[J].IEEE Aerospace & Electronic Systems Magazine,2016,31(3):19-31.

[4] OU J,CHEN Y G,ZHAO F,et al.Novel approach for the recognition and prediction of multi-function radar beha-viours based on predictive state representations[J].Sensors,2017,17(3):632.

[5] LI Y,ZHU M,MA Y,et al.Work modes recognition and boundary identification of MFR pulse sequences with a hierarchical seq2seq LSTM[J].IET Radar,Sonar & Navigation,2020,14(9):1343-1353.

[6] VISNEVSKI N,HAYKIN S,KRISHNAMURTHY V,et al.Hidden Markov models for radar pulse train analysis in electronic warfare[C]//IEEE International Conference on Acoustics,Speech,and Signal Processing.Philadelphia:IEEE,2005:597-600.

[7] 林令民.雷达语义结构分析算法设计与应用[D].北京:北京邮电大学,2017.

[8] 王勇军.一种改进的事件驱动的MFR雷达字提取方法[J].现代雷达,2019,41(3):17-20,26.

[9] 贠洁,孙闽红,官友廉.基于雷达字建模的多功能雷达工作模式识别[J].杭州电子科技大学学报(自然科学版),2020,40(6):19-25.

[10] 李程.雷达电子侦察的多层次处理关键技术研究[D].长沙: 国防科学技术大学,2015.

[11] OU J,CHEN Y G,ZHAO F,et al.Method for operating mode identification of multi-function radars based on predictive state representations[J].IET Radar,Sonar & Navigation,2017,11(3):426-433.

[12] LIU H J,YU H Q,SUN Z L,et al.Multi-function radar emitter identification based on stochastic syntax-directed translation schema[J].Chinese Journal of Aeronautics,2014,27(6):1505-1512.

[13] EMAMI H,ALIABADI M M,DONG M,et al.SPA-GAN:spatial attention GAN for image-to-image translation[J].IEEE Transactions on Multimedia,2021,23:391-401.

[14] HUANG Y M,HANG L,LI X Y,et al.Quantum maximum mean discrepancy GAN[J].Neurocomputing,2021,454:88-100.

高天昊, 曲卫, 王鹏达, 董尧尧, 姜浩浩, 朱霸坤. 针对非均衡样本的雷达字提取算法[J]. 电光与控制, 2022, 29(11): 38. GAO Tianhaoa, QU Weib, WANG Pengdaa, DONG Yaoyaoa, JIANG Haohaoa, ZHU Bakuna. A Radar Word Extraction Algorithm for Unbalanced Samples[J]. Electronics Optics & Control, 2022, 29(11): 38.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!