| 摘要 |
A fuzzy logic estimator for minimizing signal measuring inaccuracy effects in a signal processing system preferably includes a microprocessor-based system operable to receive a number of measured signal values and estimate a solution to an overdetermined system of equations that minimizes differences between the measured signal values and corresponding model values. The fuzzy logic solution estimate process includes assigning a probability distribution to delta values representing differences between the measured signal values and corresponding model values to form a corresponding number of probability distribution functions, associating at least some of the probability distribution functions with each equation of a system of equations defining a number of unknown parameter values, solving the system of equations for a domain of possible solutions, and determining a unique solution for the unknown parameter values from the domain of possible solutions.
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