Institute of Computing Technology, Chinese Academy IR
Swarm intention identification via dynamic distribution probability image | |
Wang, Yinhan1; Wang, Jiang1; He, Shaoming1; Wang, Fei2; Wang, Qi2 | |
2024-10-01 | |
发表期刊 | CHINESE JOURNAL OF AERONAUTICS |
ISSN | 1000-9361 |
卷号 | 37期号:10页码:380-392 |
摘要 | In the realm of decision-making for defense and security applications, it is paramount to swiftly and accurately identify the intentions of incoming swarms. Conventional identification methods predominantly focus on single-target applications and overlook the perturbations introduced by measurement noise. In this study, we propose a novel concept: the Dynamic Distribution Probability (DDP) image, which is constructed using the estimated state and its covariance matrix. Each grayscale pixel value within the image signifies the probability of the presence of the agent within the swarm. Our proposed identification scheme integrates the use of Extended Kalman Filter (EKF), Convolutional Neural Network (CNN), Back Propagation (BP) network, and Gated Recurrent Unit (GRU) network. Specifically, the DDP image is processed through a CNN to distill the formation characteristics, and the estimated swarm state from EKF is inputted into a BP network to deduce the kinematic information. The outputs from both networks are summed and subsequently channeled into a GRU network to capture temporal dynamics. Extensive numerical simulations and flight experiments are presented to demonstrate the robust anti-noise capability of the proposed scheme compared with conventional methods, as well as its superior training efficiency. (c) 2024 Production and hosting by Elsevier Ltd. on behalf of Chinese Society of Aeronautics and Astronautics This is an open access article under the CC BY-NC-ND license |
关键词 | Kalman filters Swarm intelligence Intention Identification Intention Identification Kalman filters Convolutional neural networks Swarm intelligence |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[52302449] |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Aerospace |
WOS记录号 | WOS:001327980800001 |
出版者 | ELSEVIER SCIENCE INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/39570 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | He, Shaoming |
作者单位 | 1.Beijing Inst Technol, Sch Aerosp Engn, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Yinhan,Wang, Jiang,He, Shaoming,et al. Swarm intention identification via dynamic distribution probability image[J]. CHINESE JOURNAL OF AERONAUTICS,2024,37(10):380-392. |
APA | Wang, Yinhan,Wang, Jiang,He, Shaoming,Wang, Fei,&Wang, Qi.(2024).Swarm intention identification via dynamic distribution probability image.CHINESE JOURNAL OF AERONAUTICS,37(10),380-392. |
MLA | Wang, Yinhan,et al."Swarm intention identification via dynamic distribution probability image".CHINESE JOURNAL OF AERONAUTICS 37.10(2024):380-392. |
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