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.
āInput: , | 1Time update: | 2 Obtain and using ((26)) and ((27)) | 3 , ,; | 4 Variational measurement update: | 5Initialization , , , , , , , , , ; | 6 for to do | 7āāUpdate given and using ((33)); | 8āāUpdate using ((38)); | 9āāUpdate and using ((40)); | 10āāāāCompuate and as ((36)); | 11āāāāUpdate using ((44)); | 12āāāāUpdate using ((46)); | 13āāāāCompuate as ((43)); | 14 end | 15 , , , , ; | āOutput:,The estimated lost probability ,The estimated latency probability |
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