Onboard inverse physics from sensor Web

Onboard sensory data mining from multiple spacecraft platforms has been an increasingly important task in space missions. In this paper, a field programmable gate array (FPGA)-based reconfigurable physical inversion prototype is developed for real-time retrieving of physical properties of the investigated area. The generalized inversion processor is able to fuse the data from multiplatform sensors, eliminate redundant algorithm development and provide a vehicle for autonomous onboard image analysis and physics-based data compressions. From our empirical study, we found that the FPGA system is faster than the Pentium-based PC by at least two to three orders of magnitude. The fixed point radial basis function algorithm demonstrates parallelism as the number of bases increase