Hybrid consensus information filter under limited bandwidth for maneuvering target tracking

This is the authors' abstract. We don't add key points for this paper.

To address the issue of poor tracking accuracy of the complex maneuvering target under limited bandwidth, an event-based hybrid consensus interactive multi-model (IMM) information filter (EHC-IMMIF) is proposed for air maneuvering target tracking in this paper. By combining the approaches of consensus on estimated information and unbiased converted measurement consensus, distributed maneuvering target estimation is achieved, balancing the improvement of estimation accuracy against the reduction of calculation load from consensus iteration steps. Furthermore, to alleviate network communication burden, a distributed event-triggering mechanism based on neighbor node information is designed for IMM estimation. This mechanism adaptively determines that communication data should be transmitted under pre-defined triggering conditions. Finally, simulation results of four UAVs cooperative tracking a maneuvering target are exhibited, verifying the proposed algorithm can achieve accurate and effective tracking performance under the limited communication resources.