State vector estimation filtering in two-position radio-locating system using artificial neural networks

Estimating algorithms of coordinates and parameters of target motion path in bistatic and two-position radio-locating system based on artificial neural networks usage are observed. Offered algorithms greatly exceed Kalman filtering algorithms in precision of estimate of state vector.