Single observer passive location using phase difference rate

Abstract

In single observer passive location system, traditional filtering algorithm for nonlinear system is Extended Kalman Filtering (EKF), which is usually affected by initial values and measurement noise of passive tracking. In order to overcome the disadvantages of EKF, we present an improved Modified Variance Extended Kalman Filter (MVEKF) method in single observer passive location system, using phase difference rate. Simulation results show that it can effectively restrict the measurement noise, being less affected by initial values. Furthermore, there is no need for searching observables modifiable function, so the proposed MVEKF is more accurate and useful than EKF in single observer passive location.