Postflight data analysis by means of adaptive interated, extended Kalman filtering

This paper describes a specific postflight data analysis (PFDA) technique, which is termed adaptive, iterated, extended Kalman filtering (AIEKF), and illustrates the application of this PFDA tool to the estimation of aerodynamic coefficients (Cx, CN, and Cm) for a single-axis model of a thrust-vector-controlled missile.