This paper discusses the use of minimum cost flow solutions for Sonar surveillance, since broadband and narrowband processing outputs overwhelm the operator ability to discriminate between false alarms and potential threats. The proposed automatic function maps a graph to the frequency x bearing x time data and solves it for detection and tracking. A shallow-water experiment is produced to validate this new passive surveillance approach.
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