Joint Multi-sensor Registration and Fusion Based on Maximum Likelihood
Sensor registration and multi-source fusion are important problems in the multi sensor-multi-target tracking systems.Multi-sensor fusion accuracy is related to sensors inherent system error to a certain extent,multi-sensor registration is required to improve the fusion accuracy.In multi-sensor-multi-target tracking scenarios,based on sensors measurement noise characteristic,this paper proposes a joint multi-sensor registration and fusion based on maximum likelihood algorithm which estimates sensors'sys-tem errors and targets'fusion position together.Simulation results show that this algorithm has high estimation precision,can solve the problem of multi-sensor registration and multi-sensor fusion at the same time.
maximum likelihoodmulti-source fusionsensor registrationmulti-target tracking
万方数据
维普
