Wavelet-Based Approach for Signal Processing and Analysis

To address the CBDs need for a signal processing system designed to analyze and fuse data collected from chemical and biological sensors, Physical Optics Corporation (POC) proposes to further develop the Wavelet-Based Approach for Signal Processing and Analysis (WASP). WASP is based on novel application of Wavelet-based analysis to multimodal, multidimensional data available from a wide variety of threat and meterological sensors. WASP algorithms filter threat data to isolate key features, perform multiresolution analysis to eliminate noise and detect changes to obtain probabilistic models of the threat environment. The probabilistic models are used to fuse data, yielding a common operational picture of the threat environment and sensor retasking recommendations. WASP thus enables multimodal data-fusion, and multilevel decision making and provides the ability to compute source-terms from chemical/biological and meteorological sensors available at different spatiotemporal resolutions, thus directly addressing the CBDs need for a comprehensive situational understanding regarding the presence of threats in an operational environment. Phase II work will mature WASP algorithms successfully developed during Phase I, incorporate a standard modular Common CBRN Sensor Interface (CCSI)-compliant framework, and customize WASP for eventual integration with a program of record such as JWARN, JOEF, and JEM, yielding a TRL-6 system.