Sequentially Partitioned Algorithm for Suboptimal Filtering with Quantized Measurements

In this work an algorithm for the suboptimal state estimation of an nth order linear discrete time system, which receives quantized vector measurements, has been developed. The proposed filter is decentralized in the sense that the nth order system has been partitioned into n first order systems which simultaneously process the components of the quantized measurement vector at each stage.