Abstract:
Using a variety of alternative computational grids, the problem of optimal estimation of signal parameters is solved in conditions where measurements contain various types of interference. A new method of forming the desired estimates is being developed, which ensures the decomposition of the computational procedure, a significant reduction in time and cost of its implementation, as well as a reduction in the estimation error for incorrect measurement conditions. Mathematical expressions are given for a comparative assessment of the effectiveness of the developed and known optimal estimation methods in conditions of uncertainty. Random and methodological errors are analyzed, as well as the computational effect achieved. An illustrative example is given.
