When the survey data sampled by multiple sensors are adopted to estimate the parameter under the interference of measurement noise

the spatial variety of parameter to be measured influence the fusion result remarkably.In order to improve the measurement precision

a self-adaptive weighted spatial stepped fusion algorithm for multisensor data fusion is presented based on self-adaptive weighted fusion algorithm

as well as error analysis and application method.The fusion process by this algorithm can be divided into partial space self-adaptive weighing optimum seeking and entire space fusion optimum seeking.The simulation results show that this algorithm is better than adaptive weighted fusion algorithm in estimation of spatial variety of measured value.