【作者】 郭云飞； 薛安克； 彭冬亮； 林岳松；

【Author】 Guo Yunfei,Xue Anke,Peng Dongliang,Lin Yuesong Institute of Information and Control,Hangzhou Dianzi University,Hangzhou 310018,P.R.China

【机构】 杭州电子科技大学信息与控制研究所；

【摘要】 针对复杂环境下多源信息融合问题,提出一种基于不确定基的信息描述模型和鲁棒融合算法。首先给出不确定基的概念和性质,提出基于不确定基的信息描述模型。利用高斯截断核算子对该模型进行实现,并提出一种自适应核宽鲁棒融合算法,核宽初值选择取决于样本协方差,每次迭代后重新调整大小以更好的描述估计的不确定度。理论分析和仿真验证表明所提描述和融合方法在良性环境下与现有方法等价,而在复杂环境下,具有更好的融合性能和鲁棒性能。更多还原

【Abstract】 For the multiple source information fusion in complex environment problem,An information representation model based on the uncertain basis and a robust fusion algorithm are presented.First,a definition of uncertain basis is given and a realization method with kernel function is proposed.Based on the uncertain basis,an uncertain information description model is presented.Second,an adaptive kernel bandwidth robust fusion technique is proposed.The kernel bandwidth is initially decided by sample covariance and then is adjusted after each iterative to describe the estimated uncertainty.Theory analysis and simu-lation show that,the proposed method equals to the existing techniques in good scenario and takes advantage in complex en-vironment.更多还原