Research Article

VB-Based Gaussian Sum Cubature Kalman Filter for Adaptive Estimation of Unknown Delay and Loss Probability

Algorithm 1

The proposed VB-based Gaussian sum cubature Kalman filter algorithm.
ā€ƒInput: ,
1Time update:
2 Obtain and using ((26)) and ((27))
3 , ,;
4 Variational measurement update:
5Initialization , , , , , , , , , ;
6 for to do
7ā€ƒā€ƒUpdate given and using ((33));
8ā€ƒā€ƒUpdate using ((38));
9ā€ƒā€ƒUpdate and using ((40));
10ā€ƒā€‰ā€‰ā€‰Compuate and as ((36));
11ā€ƒā€‰ā€‰ā€‰Update using ((44));
12ā€ƒā€‰ā€‰ā€‰Update using ((46));
13ā€ƒā€‰ā€‰ā€‰Compuate as ((43));
14 end
15 , , , , ;
ā€ƒOutput:,The estimated lost probability ,The estimated latency probability