A survey on distributed filtering, estimation and fusion for nonlinear systems with communication constraints: new advances and prospects

Abstract

In this paper, some recent results on the distributed filtering, estimation and fusion algorithms for nonlinear systems with communication constraints are reviewed. First, some network-induced phenomena and communication protocols in the networked environment are recalled. Second, the recent advances of distributed fusion algorithms for nonlinear systems are discussed, which include distributed fusion extended Kalman filtering, distributed fusion unscented Kalman filtering, distributed fusion cubature Kalman filtering, distributed fusion particle filtering. Subsequently, some new distributed filtering, estimation and fusion algorithms for nonlinear systems subject to communication constraints are summarized and discussed. Finally, conclusion is given and several possible research topics on distributed filtering, estimation and fusion for nonlinear networked systems are pointed out.