Development of an underwater fish farm surveillance simulator

This paper deals with the development of a Matlab GUI-based simulator for an underwater fish farm surveillance system. The primary objective of this study is to develop an alarm system in order to prevent objects from intruding into the fish farm. The simulator can be used to check the performance of the alarm system prior to installing it at a real site. To cope with the various maneuvers or trajectories of the intruding objects, we employed state-space-based target models for simulating the maneuvers of the objects. The detection mechanism developed in this paper is based on a probabilistic approach. The detection performance of each installed sensor is modeled to be degraded by Gaussian distribution according to the distance from the location of the sensor. The developed simulator is expected to be utilized for designing optimal underwater sensor placement prior to installing the sensors at fish farms. © ICROS 2017.