Aiming at the effective utilization and fusion of multi-sensor measurement in measurement uncertainty

a novel multi-sensor measurement adaptive data fusion algorithm is proposed.In the new algorithm

influence of interference on sensor measurement is considered.By calculation of measurement likelihood equivalent measurement is confirmed.Statistic distance among the measurement datas is constructed to optimize the equivalent measurement.The reasonable selection and fusion of measurement datas is accomplished.The theoretical analysis and simulation experimental results show the new algorithm not only effectively improves adverse effect of interference on filtering precision

but also reduce computational complexity compared with the distributed fusion method.