Information Fusion Passive Location Filtering Algorithm

In single-station bearings-only passive location system, the localization precision and system stability are always not satisfied with the requirements of the modern electronic warfare because only angle measurement signal is presented. This paper applied to solve the state estimation problem of the passive location system using information fusion technique, improves the estimation precision and increases the system stability without adding any measurement stations. Furthermore, using scalar-weighted information fusion criterion, an information fusion passive location filter is proposed for multi-sensor system with correlated observation noises. And we use the unscented particle filter to calculate the local state estimation values. Finally, a three-sensor simulation example validates the performance of our proposed algorithm.