scholarly journals Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters

Aerospace ◽  
2018 ◽  
Vol 5 (1) ◽  
pp. 28 ◽  
Author(s):  
Hamza Benzerrouk ◽  
Alexander Nebylov ◽  
Meng Li
Keyword(s):  
Target Tracking ◽  
Information Fusion ◽  
Information Filters ◽  
Multi Uav

Systemic design of distributed multi-UAV cooperative decision-making for multi-target tracking

2019 ◽  
Vol 33 (1-2) ◽  
pp. 132-158 ◽  
Author(s):  
Yunyun Zhao ◽  
Xiangke Wang ◽  
Chang Wang ◽  
Yirui Cong ◽  
Lincheng Shen
Keyword(s):  
Decision Making ◽  
Target Tracking ◽  
Multi Target Tracking ◽  
Cooperative Decision Making ◽  
Systemic Design ◽  
Multi Uav

Multi-UAV Cooperative Target Tracking Based on Swarm Intelligence

2021 ◽  
Author(s):  
Zhaoyue Xia ◽  
Jun Du ◽  
Chunxiao Jiang ◽  
Jingjing Wang ◽  
Yong Ren ◽  
...  
Keyword(s):  
Target Tracking ◽  
Swarm Intelligence ◽  
Multi Uav

Target Tracking in Sensor Networks Using Additive Divided Difference Information Filtering Method

2013 ◽  
Vol 433-435 ◽  
pp. 503-509
Author(s):  
Deok Jin Lee ◽  
Kil To Chong ◽  
Dong Pyo Hong
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Information Fusion ◽  
Divided Difference ◽  
Information Filtering ◽  
Nonlinear Estimation ◽  
Fusion Algorithm ◽  
Distributed Sensor Networks ◽  
Distributed Sensor ◽  
Information Filter

This paper represents a new multiple sensor information fusion algorithm in distributed sensor networks using an additive divided difference information filter for nonlinear estimation and tracking applications. The newly proposed multi-sensor fusion algorithm is derived by utilizing an efficient new additive divided difference filtering algorithm with embedding statistical error propagation method into an information filtering architecture. The new additive divided difference information filter achieves not only the accurate nonlinear estimation solution, but also the flexibility of multiple information fusion in distributed sensor networks. Performance comparison of the proposed filter with the nonlinear information filters is demonstrated through a target-tracking application.

Sign in / Sign up

Export Citation Format

Share Document