Nonlinear stochastic estimation of altitude and vertical flight speed in real time

Abstract

The optimal algorithm for calculating the altitude and vertical flight speed of an aircraft, which is based on complex processing of information from static pressure sensors, outdoor air temperature, and vertical acceleration is described. Information processing is performed using nonlinear estimation methods. Adaptive properties of the estimation algorithm are achieved by including into the state vector the parameters that characterize the properties of sensors and static pressure transmission paths.