Aiming at the problem of the effective utilization and fusion of multi-sensors multi-models hybrid system in measurement uncertain

a novel multi-sensors interacting multiple models adaptive filtering algorithm is proposed.In the new algorithm

the interacting multiple models mechanism is used to confirm the motion pattern of target.The measurement likelihood of every sensor is calculated to realize the selection of measurement without interference.The statistic distance among the measurements is constructured to judge whether the influence of interference exists in remaining sensors

and the reasonable selection and fusion of measurements is accomplished.The new method effectively improves the adverse influence of interference for filtering precision in measurement uncertain.The theoretical analysis and experimental results show the validity of the algorithm.