Distributed Cubature Information Filtering Method for State Estimation in Bearing-only Sensor Network

In this brief, the distributed cubature information filtering method is proposed to solve the state estimation problem of target in passive sensor network. Firstly, the observation system model of bearing-only sensor network is established and analysised. The sensor node pairs only measure the relative angle information, and then the state estimation of the target is realized based on the DCIF algorithm. The algorithm enhances the observability of the passive tracking system, and combines with the cooperative consistency theory to solve the problems of large precision errors and easy divergence of traditional nonlinear filtering algorithms. Finally, four simulation experiments are set up for comparison, which verifies the effectiveness and superiority of the DCIF algorithm proposed in this brief.