Fusion of Multiple Estimation of Emitter Positions

Multisensor data fusion is very important in defence systems. Data fusion can be used to integrate individual sensor data into the common operational picture of the battlefield. However, there is still a possibility to improve the quality of individual sensors. In this paper, we investigate a possibility to improve the quality of individual sensor data from Electronic Warfare (EW) systems. Some novel methods and techniques for estimating emitter positions are compared in this paper, such as the Discrete Probability Density (DPD) method, the fusion of multiple bearing lines and the meansquare distance algorithm. These methods are examined in order to be used in the process of forming the electronic order of battle (EOB). A procedure for EOB forming based on combining estimated emitter positions is proposed in this work.