earticle

영어

This paper studies the optimal linear estimation problem for systems with multiple packet dropouts and multiplicative noises. When the current measurement is lost, the popular zero-input compensation mechanism is used for compensation. Based on the zero-input compensator, the optimal linear estimators including filter, predictor and smoother in the linear minimum variance sense are given by innovation analysis approach. The proposed estimators can reduce the computational cost compared to the existing augmented estimators based on the hold-input mechanism. The performances of the two kinds of estimators are compared in terms of two simulation examples. The conclusion is that neither of the two compensation mechanisms can be claimed to be superior to the other.