Abstract
The paper presents an algorithm for detecting an object during the coherent reception of signals coming from an environmental monitoring network consisting of several sensors. The sensors of the monitoring network can change their location in space, for example, as it happens in a freely drifting system of sensors for detecting oil pollution on the water surface. The proposed algorithm uses statistics that take into account the most stable features of the distribution of the source data. It provides a constant probability of false alarm at any noise level. This algorithm can be implemented in software in an automated decision support system for the presence or absence of environmental pollution. At the same time, decisions on the detection of a monitoring object made by an automated system will be more reliable.
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