Kalman Filter in Real Time for Indirect Measurement of Space Vehicle Position using a Reconfigurable Architecture

This work presents an algorithm for real time hardware dedicated to space vehicles position´s indirect measurement and its application in the flight security scheduling. This algorithm is based on Kalman filtering and it is implemented in a reconfigurable architecture. The algorithm is developed considering real time restrictions for position signals, acquisition system and the filter hardware characteristics satisfy the time deadlines of the tracking and algorithm´s memory requirements. The simulations and experiments results are compared with position signals that comes from a Brazilian center of rocket launching´s. The proposed algorithm presents a good performance, the measurements position values from the reconfigurable architecture and rocket tracking database have shown a smaller discrepancy after the filter stability period