中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive Sample-Size Unscented Particle Filter with Partitioned Sampling for Three-Dimensional High-Maneuvering Target Tracking

文献类型:期刊论文

作者Qi Deng;  Gang Chen;  Huaxiang Lu
刊名Applied Sciences
出版日期2019
卷号9期号:20页码:4278
源URL[http://ir.semi.ac.cn/handle/172111/29594]  
专题半导体研究所_高速电路与神经网络实验室
推荐引用方式
GB/T 7714
Qi Deng;Gang Chen;Huaxiang Lu. Adaptive Sample-Size Unscented Particle Filter with Partitioned Sampling for Three-Dimensional High-Maneuvering Target Tracking[J]. Applied Sciences,2019,9(20):4278.
APA Qi Deng;Gang Chen;Huaxiang Lu.(2019).Adaptive Sample-Size Unscented Particle Filter with Partitioned Sampling for Three-Dimensional High-Maneuvering Target Tracking.Applied Sciences,9(20),4278.
MLA Qi Deng;Gang Chen;Huaxiang Lu."Adaptive Sample-Size Unscented Particle Filter with Partitioned Sampling for Three-Dimensional High-Maneuvering Target Tracking".Applied Sciences 9.20(2019):4278.

入库方式: OAI收割

来源:半导体研究所

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