IMPROVED NON LINEAR STOCHASTIC ESTIMATOR FOR ELECTRONIC SUPPORT MEASUREMENTS IN ELECTRONIC WARFARE
In Electronic Warfare (EW) Electronic Support Measurement (ESW) systems, the transmissions made by radar on a target ship are assumed to be intercepted by an EW system of ownship. Time to estimate the target motion parameters with reasonable accuracy is highly dependent on the values used for initialization of target state vector components. Inclusion of range, course and speed parameterization is proposed in target state vector of Modified Gain Bearings-Only Extended Kalman Filter to obtain fast convergence and to track a stationary/non stationary target. The performance of the algorithm is evaluated in simulation and results are presented for two selected scenarios.