Multiple fading factors-based strong tracking variational Bayesian adaptive Kalman filter

•The inverse Wishart distribution is chosen as the conjugate prior for MNCM.•Multiple suboptimal fading factors can make each filtering channel have different adjustment capability.•The computational complexity of filter will be increased because of the use of variational Bayesian approach.•The proposed filter has better estimation accuracy than the existing state-of-the-art algorithms.