Filtering nonlinear measurements.
Hudson, Ralph E.
Titus, Ralph E.
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An algorithm is developed for estimating the state of a linear dynamic system excited by a random sequence. The input data are noisy observations which are nonlinear functions of the state. The estimates are best in the sense of least squared residuals. A significant problem in radar tracking is investigated and the effectiveness of the algorithm verified.