SBIR-STTR Award

This Phase I SBIR proposal exploits RTA's recent development of nonlinear dynamics (NLD based g)rocess3ng methodologies to the problem of noise reduction and signal processing in general. RTA will analyze proprietary techniques and advances in the open literature, to identify areas of NLD-based processing that have the best potential to improve signal processing performance. Additionally, RTA will extend the theoretical connection between traditional signal processing and the new, nonlinear techniques. RTA will adapt currently operational, proprietary NLD-based software m6Sules to provide a demonstration of these concepts for this effort. In a planned Phase II follow-on effort, the NLD-based techniques identified in this Phase I effort will be refined and implemented on RTA's MicroVAX systems. Also, the transition to a standalone platform or operational Navy system will be addressed.

This Phase II SBIR Proposal results in a near-real time breadboard digital signal processing (DSP) system for detection and classification (D/C) of SONAR transient signals for the NAVY. The D/C algorithms will exploit RTA's advances in nonlinear dynamics (NLD) methods for time series analysis, modeling, and forecasting to yield D/C performance at signal-to-noise ratios (SNRs) at projected 5 to 10 dB lower than current methods. An extensive world and simulated data for computer experiments. The optimal algorithm(s) will be implemented on a reconfigurable DSP system for demonstration against real-world data sets. In the Phase III effort, RTA will work with a suitable Navy contractor to manufacture the required add-on technology to retrofit existing SONAR workstations.

Keywords:
NONLINEAR DYNAMICS SONAR DETECTION DIGITAL SIGNALS PROCESSING CLASSIFICATION