New Statistical Trajectory Estimation Program (NewSTEP)

About this technology

Overview

NewSTEP is a matlab-based iterative extended Kalman filter/smoother designed for solving trajectory reconstruction problems for flight test experiments. The Kalman filter is formulated to blend various types of measurement data to obtain the best estimate of the vehicle trajectory. The code also produces uncertainty estimates based on the state covariance matrix. The equations of motion are formulated in order to include the eects of several systematic error sources, whose values may also be estimated by the fltering routines. The measurement models include Inertial Measurement Units (IMU), Global Positioning System (GPS), ground-based tracking radar, magnetometers, air data sensors, and meteorological measurements. The code can also produce estimates of the as-flown vehicle aerodynamic force and moment coefficients.