Analysis of Effect of Ballistic Coefficient in the Formulations and Performance of EKF with Emphasis on Air Drag

In one dimensional vertical motion in the case of tracking a target, many types of filters included Kalman varieties have been used so far. This paper is presenting a new approach of inverse ballistic coefficient included in the target state vector for reducing the convergence time. For analysis, estimation of object’s altitude and velocity is done by simulation based on noisy error environment measurements. The important of beta (ballistic coefficient) for non linear studies on extended Kalman filter has been established with proper evidence. This work can be further extended to consider the effect of hang off errors and air drag.