Support degree and adaptive weighted spatial-temporal fusion algorithm of multisensor

According to the noise contained in many sensor data, an algorithm based on support degree and adaptive weighted spatial-temporal fusion of the multi-sensor is proposed. Spatial-temporal data fusion algorithm is to decompose data fusion into space and time, conducting the first fusion with adapting supporting degree and the recursive estimation based on time for the first time, then conducting the second fusion in space through adaptive weighted estimation. In this algorithm, there is no need to know any prior knowledge the of sensors measurement data, only minimizing variance of the fusion system all the time by using sensor variance changes in space position and adjusting weighting coefficients of each sensor fusion of weighted fusion system. The computer simulation results show further that the algorithm can improve the effectiveness of the measurement accuracy.