Processing of ESM Data with ANN

Artificial neural networks are commonly used to solve almost any classification or pattern recognition problem in any imaginable area. This paper presents idea how artificial neural networks can help with processing data from passive surveillance systems to gain maximum possible information from collected data and eliminate inaccurate bearings. The first paragraph introduces reader into the topic of passive surveillance systems and declares why is proposed procedure necessary. Following paragraphs introduces artificial neural networks and their common applications, explains why is an artificial neural network suitable solution for presented problem and defines the way how data are prepared, processed and evaluated. The penultimate paragraph presents model situation with an application of proposed procedures on prepared simulated data also with a graphical representation. The final paragraph summarizes results of the presented approach not only on model situation and defines next steps of a research.