Research on Airborne Passive Location Based on Extend Kalman Filter with Control Inputs

摘要

This paper describes the principle and method of traditional Kalman Filter (KF) algorithm and Extended Kalman Filter (EKF) with control inputs. An airborne 3D model of passive location system is established. And then the linearization of the nonlinear observation model and the steps and formulas of the recursive filtering estimation with the EKF with control inputs are derived. Finally, the using of the EKF with control inputs algorithm to solve passive location method based on the azimuth angle and pitching angle information is verified by computer simulation. The results show that this method is a new process with practical engineering significance.