Abstract
The paper considers an algorithm for estimating the coordinates of radio radiation sources from measurements in the process of motion of a single radio direction finder. The algorithm is devised as a set of recurrent neural networks, with delays of inputs, a feedback, and a prediction model. Analysis of characteristics of coordinate estimation accuracy is performed — as compared with the statistical adaptive algorithm of filtering and with regard to the potential boundary of the error of optimal estimates.
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