摘要：Estimate Fusion Technique (EFT) for Bearings–Only passive target tracking involves a process of estimating the state of a moving target by fusing the estimates given by different Nonlinear estimators which are driven by different Bearing measurements supplied by towed array. The estimates are fused with the help of a Weighted Least squares Estimator. This novel method has an advantage over the traditional nonlinear Estimators such as the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) in terms of estimation errors which is proved in this paper by performing simulation in Matlab R2009a for a wartime scenario.
