Auxiliary System Sensor Fusion

The objective of DoD SBIR 11.2 Solicitation Topic N112-159, Auxiliary System Sensor Fusion, is to develop methods and algorithms that allow sensor information from disparate auxiliary systems to be intelligently fused to provide enhanced situational awareness (SA). A proposal in response to the soliciation topic has been jointly prepared by Technical Documentation Incorporated (TDI), a wholly-owned small business based in King of Prussia, PA and the Center for Data Analytics and Biomedical Informatics, Computer and Information Sciences Department, Temple University based in Philadelphia, PA. The initial six-month period will involve receipt of software, data and documentation from the Government, which will define the notional system simulation of a reduced scale hardware implementation of a shipboard chilled water system and an electrical system. This software, data and documentation, in conjuction with the MATLAB, Simulink and Toolboxes software tool license to be purchased by TDI, will be used to build intelligent algorithms, for the fusion of data obtained from the simulated remote sensors. The intelligent algorithms will be based on proven techniques such as Bayesian belief networks, linear and nonlinear classifiers, Kalman filtering, and Dempster-Schafer. Other techniques may be investigated as they are identified and time and material resources permit.