The FM-rangefinder signal processing with using neural networks

The problem of accuracy increase in a frequency modulated rangefinder by application an artificial neural network in signal processing of difference frequency is considered. The design of a network and algorithm of its training are stated. Factors of neural communications are received. Results of numerical experiment on the rangefinder signal processing for a range of distances from 0 to 3 meters are resulted.