Citation: | Shanchao YANG, Kangsheng TIAN, Changfei WU. Target Assignment Method for Phased Array Radar Network Based on Quality of Service[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2844-2851. doi: 10.11999/JEIT181133 |
BIL R and HOLPP W. Modern phased array radar systems in Germany[C]. IEEE International Symposium on Phased Array Systems and Technology, Waltham, USA, 2016: 11–17.
|
MALLICK M, KRISHNAMURTHY V, and VO B N. Integrated Tracking, Classification, and Sensor Management: Theory and Applications[M]. Hoboken, USA: John Wiley & Sons, Inc., 2014: 447–520.
|
MOO P W and DING Zhen. Coordinated radar resource management for networked phased array radars[J]. IET Radar, Sonar & Navigation, 2015, 9(8): 1009–1020. doi: 10.1049/iet-rsn.2013.0368
|
KALANDROS M. Covariance control for sensor management in cluttered tracking environments[J]. Journal of Guidance, Control, and Dynamics, 2004, 27(3): 493–496. doi: 10.2514/1.10339
|
AUGHENBAUGH J M and LA COUR B R. Metric selection for information theoretic sensor management[C]. The 11th International Conference on Information Fusion, Cologne, Germany, 2008: 1–8.
|
周林. 基于信息论的传感器管理算法研究[D]. [硕士论文], 河南大学, 2005: 34–42.
ZHOU Lin. The algorithm of sensor management based on information theory[D]. [Master dissertation], Henan University, 2005: 34–42.
|
WANG Xiaoying, HOSEINNEZHAD R, GOSTAR A K, et al. Multi-sensor control for multi-object bayes filters[J]. Signal Processing, 2018, 142: 260–270. doi: 10.1016/j.sigpro.2017.07.031
|
SEOK J, ZHAO Jinxin, SELVAKUMAR J, et al. Radar resource management: Dynamic programming and dynamic finite state machines[C]. 2013 European Control Conference, Zurich, Switzerland, 2013: 4100–4105.
|
DELIGIANNIS A and LAMBOTHARAN S. A Bayesian game theoretic framework for resource allocation in multistatic radar networks[C]. 2017 IEEE Radar Conference, Seattle, USA, 2017: 546–551. doi: 10.1109/RADAR.2017.7944263.
|
方德亮, 冉晓旻, 李鸥. 一种能量有效的分布式传感器管理算法[J]. 西安电子科技大学学报: 自然科学版, 2017, 44(2): 171–177. doi: 10.3969/j.issn.1001-2400.2017.02.029
FANG Deliang, RAN Xiaomin, and LI Ou. Energy efficient distributed sensor management algorithm[J]. Journal of Xidian University:
|
RUSU C, THOMPSON J, and ROBERTSON N M. Sensor scheduling with time, energy, and communication constraints[J]. IEEE Transactions on Signal Processing, 2018, 66(2): 528–539. doi: 10.1109/TSP.2017.2773429
|
JAIN N K, NANGIA U, and JAIN J. A Review of particle swarm optimization[J]. Journal of the Institution of Engineers (India)
|
郭广颂, 文振华, 郝国生. 基于群体决策的多用户协同交互式遗传算法[J]. 电子与信息学报, 2018, 40(9): 2165–2172. doi: 10.11999/JEIT171234
GUO Guangsong, WEN Zhenhua, and HAO Guosheng. Interactive genetic algorithm based on collective decision making with multi-user collaboration[J]. Journal of Electronics &Information Technology, 2018, 40(9): 2165–2172. doi: 10.11999/JEIT171234
|
NADJIASNGAR R and CHARLISH A. A performance model for target tracking with a radar network[C]. Proceedings of IEEE Radar Conference, Johannesburg, South Africa, 2015: 117–123. doi: 10.1109/RadarConf.2015.7411887.
|
HANSEN J, RAJKUMAR R, LEHOCZKY J, et al. Resource management for radar tracking[C]. 2006 IEEE Conference on Radar, Verona, USA, 2006: 358–363. doi: 10.1109/RADAR.2006.1631788.
|
BOYD S and VANDENBERGHE L. Convex Optimization[M]. London, England: Cambridge University Press, 2004: 99–103.
|
FRANCU M, KERMAN R, and SINNAMON G. A new algorithm for approximating the least concave majorant[J]. Czechoslovak Mathematical Journal, 2017, 67(4): 1071–1093. doi: 10.21136/CMJ.2017.0408-16
|