Study on data fusion algorithms based on parameter-estimation
Mai Han-rong · Transducer and Microsystem Technologies · 2006
The validity,accuracy and actual time of the algorithm for batched-estimation,self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.The validity and their difference of the precision in data fusion are illustrated based on PC simulations.The PC simulation shows that fusion effect is the best for self-adaptive weighting,and it can improve the precision more efficiency with measuring variances,and it is more reasonable for multi-sensors data acquisition systems when consider environment noises.