立体边防监视系统与多传感器信息融合技术研究
[1] Stano P, Lendek Z, Braaksma J, et al. Parametric Bayesian flters for nonlinear stochastic dynamical systems: a survey[J]. IEEE Trans. on Cybernetics, 2013, 43(6): 1607-1624.
[2] Patwardhan S C, Narasimhan S, Jagadeesan P, et al. Nonlinear Bayesian state estimation: a review of recent developments[J]. Control Engin. Practice, 2012, 20(10): 933-953.
[3] Jenkins K. L, Castaón D A. Adaptive sensor management for feature-based classification[C]// Proc. of IEEE Conf. on Decision and Control, 2010: 522-527.
[4] 李 涛. 边境防控体系中无线传感器网络系统的设计与分析[D]. 昆明: 云南大学, 2015.
Li Tao. Design and analysis of wireless sensor network system in border control system[D]. Kunming: Yunnan University, 2015.
[5] 范 恩, 谢维信, 刘宗香, 等. 传感器组网中基于模糊信息处理的多目标跟踪[J]. 指挥信息系统与技术, 2014, 5(6): 15-21.
Fan En, Xie Weixin, Liu Zongxiang, et al. Multiple target tracking in sensor network based on Fuzzy information processing[J]. Command Information System and Technol., 2014, 5(6): 15-21.
[6] David L H. Llinas J. 多传感器数据融合手册[M]. 北京: 电子工业出版社, 2008.
David L H. Llinas J. Multi-sensor Data Fusion Manual[M]. Beijing: Publishing House of Electronic Industry, 2008.
[7] 余亮琴, 陈 红, 张丽红, 等. 不确定性理论与多传感器数据融合[M]. 北京: 机械工业出版社, 2016: 20-126.
Yu Liangqin, Chen Hong, Zhang Lihong, et al. Uncertainty Theory and Multi-sensor Data Fusion[M]. Beijing: Machinery Industry Press, 2016: 20-126.
[8] 丁文静. 多传感器信息融合目标识别算法研究[D]. 无锡: 江南大学, 2016.
Ding Wenjing. Research on multi-sensor information fusion target recognition algorithm[D]. Wuxi: Jiangnan University, 2016.
欧阳旭朗, 何文忠, 鹿玮, 卞紫阳. 立体边防监视系统与多传感器信息融合技术研究[J]. 半导体光电, 2018, 39(2): 298. OUYANG Xulang, HE Wenzhong, LU Wei, BIAN Ziyang. Study on 3D Border Surveillance System and Multi-sensor Information Fusion Technology[J]. Semiconductor Optoelectronics, 2018, 39(2): 298.