Reconfigurable computing offers an attractive solution to accelerating infrared scene simulations. In infrared scene simulations, the modeling of a number of atmospheric and optical phenomena like scintillation, refraction, blurring due to lens optics and photon noise may be implemented in parallel. All of these require simultaneous and continual generation of random numbers. Furthermore, random number generation is only a small component of all of these algorithms. Current software random number generators are too slow whilst current hardware random number generators are plagued by issues such correlations and are not area efficient. We describe a reconfigurable computing based uniform random number generator based on the mersenne twister algorithm that is area time efficient and that does not suffer from correlations.