Single observer passive location using phase rate of change with the extended kalman particle filter

Author(s):  
Xu Tianyuan ◽  
Liu Shunlan
2014 ◽  
Vol 35 (1) ◽  
pp. 68-73 ◽  
Author(s):  
Wang-xi Li ◽  
Chang-qiang Huang ◽  
Yong Wang ◽  
Tong Han ◽  
Chuan-lin Tang ◽  
...  

2002 ◽  
Vol 15 (1) ◽  
pp. 49-54 ◽  
Author(s):  
Yue-hui SHAN ◽  
Wei AN ◽  
Zhong-kang SUN ◽  
Fu-kan HUANG

Author(s):  
Jiangang Wang ◽  
Xinglai Hua ◽  
Yuanqing Zhu ◽  
Qiushi Xi ◽  
Zhangheng

2014 ◽  
Vol 651-653 ◽  
pp. 953-956 ◽  
Author(s):  
Fu Lai Liu ◽  
Hui Jia

Ground target position estimation of near space vehicle is the key technology in military and civilian field. In this paper, we propose an effective method using the cubature Kalman filter (CKF) based on direction of arrival (DOA) and its rate of change. Comparisons with the location method only using DOA and the classic EKF algorithm are conducted respectively. Simulation results indicate that the proposed method has faster convergence speed and better location precision.


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