Acoustic Data Software "Intelligent Agent" Search Tool

Sonar operators manually fuse observed historical sonar data to determine not only a target's motion and position, but also to learn patterns of behavior over time which can provide a tactical advantage via prediction of future behavior. Because operators must change watches and there is a voluminous amount of relevant data that spans from hours to months, it is difficult and manpower intensive to take full advantage of this information. Database capabilities have grown tremendously due to increases in storage device technology and affordable computing power. These advances have enabled the field of Data Mining - the application of intelligent pattern recognition algorithms such as neural networks and expert systems for the extraction of hidden predictive information from large databases.Progeny Systems has exploited the growth in massive COTS storage capability to develop the Digital Data Collection System (DDCS) for the ARCI and VA-class submarine platforms. DDCS archives a significant portion of the sonar system data from element level acoustic data to contact followers (trackers). We will combine DDCS capability, sonar operator expertise, and mature data mining techniques to develop an Intelligent Agent capability to assist the sonar operator in using historical information for target motion analysis and prediction.