Use of interleaving and error correction to infrared patterns for the improvement of position estimation systems

A system capable of estimating the position of a mobile target based on the error rate of the received infrared patterns has been presented recently in [1]. In the present work, we explore the effect of using different infrared patterns to the estimation accuracy, the instant noise immunity and the system speed. We apply interleaving and forward error correcting techniques to correct the burst errors stemming from instant noise. We achieved a 25%-50% stability improvement, retrieved 20% less failures and the convergence speed is enhanced by a factor of 4-12.