Optimization of trajectory signal processing in a radar system with digital synthesis of antenna aperture using hidden Markov models

Function of radar relief in the space of states is determined using hidden Markov models. An optimal algorithm for processing of trajectory signal of radar system with digital synthesis of antenna aperture is developed with allowance for equivalent discrete representation of the continuous function of radar relief. The application of the Gaussian approximation of the conditional a posteriori probability density of the radar-relief function yields an acceptable quasi-optimal filtering algorithm. The efficiency of the synthesized recurrence algorithm is proven with the aid of statistical simulation.