Decom olution Estimation Problem for Measurement-Delay Systems with Packet Dropping

摘要

This paper addresses the optimal deconvolution estimation problem for measurement-delay systems over a network subject to random packet dropout, which is modeled by independent and identically distributed Bernoulli processes. First, the state estimator problem is solved by utilizing the reorganized innovation analysis approach, which is given in the linear minimum mean square error sense (LMMSE). Then, the noise estimator is obtained based on the state estimator and the projection formula. Last, we provide a numerical example to declare that our proposed estimation approach is effective.