Moving horizon Monte Carlo state estimation for linear systems with output quantization

This paper develops a novel scheme for state estimation of discrete-time linear time-invariant systems with output quantization. The method combines concepts from Monte Carlo sampling and Moving Horizon estimation. The effectiveness of the scheme is illustrated via a simulation example.