Yeromina N. The method of linking the unmanned aerial vehicles with the help of correlation-extreme navigation systems in conditions of false objects' occurrence in the current image.

Object – UAV navigation process with the use of correlation-extreme navigation system. Purpose – to increase of the possibility of UAV linking under conditions of influence of geometric distortions of visibility surface with large number of available objects on the current image of CENS. Research subject – the methods of formation of unimodal decisive function as the UAV trajectory correction code. Methodology – the methods of correlation-spectral analysis of random processes, methods of parameters estimation theory of signals under the influence of interferences, methods of theory of chances that have been used during the development of methods of BO localization on OE CENS and during the unimodal SF formation, simulation methods for algorithms performance evaluation for unimodal DF formation taking into consideration the geometric distortions. Findings - The model of the operation of the CESN was further developed and it takes into account the attitude and orientation of UAV as well as correlation properties of the visibility surface that are based on the description of the model of the generalized telegraph process. The method of the BO localization of CENS under conditions of appearance of false objects in current image that are caused by geometric distortions of visibility surface with large number of available objects was further developed. The method is based on the identification and multi-level selection of the binding object. The method of formation of a unimodal SF was further developed based on the adaptation of the reference image to the attitude and orientation of UAV and involves summing up the quantity of the SF rownesses and identification of the max value that corresponds to the full match of the current image to the reference image. Implementation – in the research work «Pokhybka». Application area – Earth state sensing.