The processing of signals from sensors to observe objects in various physical fields

Based on the theory of distinguishing statistical hypotheses, an algorithm for detecting objects based on the results of joint observation in several physical fields was synthesized. The quality of the work of the synthesized algorithm is analyzed and comparison results with heuristic algorithms are shown, which show the advantage of complex processing of signals from image sensors. The algorithm was developed within the framework of the theory of distinguishing statistical hypotheses. The efficiency of complex signal processing by simulation is estimated. It is established that an increase in observation media leads to an improvement in the quality of the discrepancy between hypotheses.