Multi-sensor fusion based on unscented strong tracking information filter

Information fusion for nonlinear systems is one of the challenging topics in target tracking recently. Aiming at a kind of multi-sensor target tracking systems with correations between process and measurement noises, we study the design of a decentralized fusion algorithm based on the unscented strong tracking filter with correlated noises (USTF-CN). Firstly, the information form of USTF with correlated noises is presented in order to improve numerical performance. Subsequently, a decentralized nonlinear fusion algorithm is proposed by using USTIF-CN and decentralized fusion structure. Finally, two simulation examples based on target tracking are demonstrated to verify the efficiency of the proposed fusion algorithms.