A Cluster-Based Distributed State Estimation Method Utilizing Cooperative Target Tracking

Cooperative target tracking in sensor networks involves optimizing tracking performance by leveraging various sensor types. This entails networked communication between sensors to track targets within a designated area. The process also includes harmonizing target estimations and achieving optimal fusion of results. In cluster systems, where nodes monitor each other’s status, the estimation of a specific node’s state evolves into a multi-sensor single-target tracking challenge, extending to multi-sensor multi-target tracking. This paper presents an innovative approach to distributed target tracking, using relative position information for fusion, yielding enhanced results. ...