Data fusion using multiple models
David D. Sworder, John E. Boyd, R.J. Eliott, Robert G. Hutchins · 2002
Multiple model fusion is useful in applications in which the model of the signal processes is not known with certainty. This paper compares two current fusion algorithms with a novel alternative. The new fusion approach is shown to give improved performance when the observation rate is slow as compared with the important time constants of the signal.