FTI Awarded Follow-on MDA Phase II Contract
Frontier Technology, Inc. (FTI) has been awarded a 24 month research contract in the amount of $986,171 for Advanced Sensor Data Fusion. FTI and its research partner, University of Florida (UF), will update and implement theory, algorithms, and software for fusion of multi-sensor (e.g., RADAR and EO) data streams to provide enhanced acquisition, tracking, and discrimination of threat objects in a cluttered multi-target environment. This objective of this research is to apply innovative discrimination concepts to the fusion of sensor and contextual information through the development of robust algorithms that will collect, process, and fuse information from multiple sources (radars either at the same or different frequencies as well as EO/IR sensor assets). It will also provide the capability to form a single integrated picture of the battlespace that can assist the warfighter in making decisions based on the evolving battlespace environment.
This effort enhances and extends the technology foundation developed in Phase I. The resultant technology will support (a) Parallel application of multiple classifiers to RADAR and/or EO/IR sensor data to identify probable target type/ track/location; (b) Processing of partial classification results in pattern space, for efficiency and visibility to developers to produce refined classifier results that fuse multiple sensor data streams; (c) Adaptation of classifiers and pattern-space processing to track targets given nonergodic (statistically changing) inputs; (d) Analysis of complexity and performance on several processor system architectures, with best-performance implementation on a hardware system. The Phase II research will utilize adaptive pattern selection and pattern-space processing to develop, test, and verify prototype data fusion / target classification algorithms that incorporate partially-corrupted signatures and will also produce a prototype hardware implementation.
In addition to its initial applications, the technology developed will be able to support a wide variety of pattern recognition applications for both government and industry. These include computer-assisted diagnosis, facial recognition, speech analysis, equipment health management and camouflaged target identification.