Zhang Xinman,Han Jiuqiang
(School of Electronics and Information Engineering,Xi'an Jiaotong Univercity 710049,China)
Abstract:Offered by matrix analysis of uncertainty reasoning method, a mathematical model of multisensor data fusion is estabilshed to resolve object recognition problem by analyzing comprehensively several different sensor acquisitions based normal distribution, so that basic probability assignment is easily attained according to the correlative coefficient matrix. Following this a novel data fusion algorithm is proposed. Of this approach by the multiple levels accumulation of assignments recursively the fusion estimates based on global information are obtained.Application example shows the recognition result is optimal when compared with a single sensor ,in improving the effectiveness and correctness with an average decline 74 percent of uncertainly value.There by the imprecision and quickness of industrial production will be improved.
Keywords:data fusion;uncertainty reasoning;object recognition;matrix analysis