Dynamic SuperManuals with Latent Semantic Analysis

Active sonar operations are a key to effective USW performance in ocean environments. The performance of active sonar in these scenarios is often limited by clutter. Most active de-cluttering approaches have identified classification clues that are used totry to discriminate target echo returns from clutter echo returns. These approaches have historically suffered from performance sensitivity to changes in the ocean environments.Phase I of this SBIR developed a non-parametric approach to classification thatis robust against multiple environments. The performance of the algorithm was evaluated against both simulated data and recorded at-sea data. The new classification algorithm demonstrated consistent performance across various ocean environments, includingthose where the performance of conventional classification approaches were significantly degraded.Phase II will fully specify the processing, analyze performance, implement the capability, and integrate it into the existing SH-60R Dipper software. Theintegration with the SH-60R software provides a clear transition to a Phase III effort consisting of sea test performance validation and delivery to fielded SH-60R platforms. The DSR-TecFocus team has the unique background and experience to provide thiscapability by incorporating the existing SH-60R Dipper signal processing into an Advanced Processing Build (APB) program like the one developed by PMS425.