Design of wireless robust measurement filter based on differential geometry

Abstract

This study introduces a new method to design a robust measurement filter. The novelty of this method lies in defining the concept of robustness scale and designing a filter based on differential geometry. Then the robustness scale is quantised as a minimum change value of a certain manifold which is used to describe a test system under environmental stressor or structural disturbance. Hence, the feature parameter abstracted from a normal environment is extended to an uncertain environment, and a feature parameter Kalman filter is designed to improve the robustness of a resource-limited wireless measurement system. The results of experiments prove the effectiveness of the proposed methods.