Collaborative target tracking in WSNs using the combination of maximum likelihood estimation and Kalman filtering

2013 ◽  
Vol 11 (1) ◽  
pp. 27-34 ◽  
Author(s):  
Xingbo Wang ◽  
Huanshui Zhang ◽  
Minyue Fu
2014 ◽  
Vol 1037 ◽  
pp. 378-382
Author(s):  
Lei Bo ◽  
Xin Yan Zhu

The adaptive Kalman filtering algorithm was adopted in the online estimate of navigation state of unmanned aerial vehicle (UAV) as the simplified model often used. At the moment, the alogorithms those usually applied in this territory are not perfect. Analysed the adaptive Kalman filtering based on Maximum-Likelihood Estimation and Sage-Husa Kalman filtering, take advantage the characteristics of residue, choose the estimation windows, a simplified adaptive Kalman filtering algorithm was gived.


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