Abstract
The article discusses the development of a joint quasi-optimal algorithm for processing radio signals from radio emission sources by aviation means of radio surveillance. The Bayesian method of a joint quasi-optimal algorithm is used to conduct an independent synthesis of decision rules on discrimination (recognition and detection), resolution, and assessment of the state parameters of a radio source. A block diagram of the developed algorithm is presented. An analysis of the feasibility of a quasi-optimal algorithm is carried out, taking into account the required computational costs for its implementation. Mathematical modeling of the blocks of the developed algorithm was carried out, confirming the increased efficiency of radio signal processing.
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