不确定信息的代数融合方法

基于传统数字滤波方法在对不确定信息融合过程中在稳定性和快速跟踪融合方面存在的问题 ,定义不确定信息的相互支持程度 ,利用概率源合并理论和非负矩阵特征向量理论 ,提出一种特别适合智能仪表的代数融合方法。通过数据测试分析表明本方法具有较好的抗干扰能力 ,并能对跳跃信息进行快速跟踪融合。

An algebraic method for the unascertained information fusion

Due to the problems of traditional digital filter in stability and fast tracing fusion, after defining the support level of unascertained information, based on the probability source combining theory and the theory of characteristic vector of non-negative matrix, an algebraic method of information fusion that quite suits intelligent instruments is brought up. Some data test, show this method excels in anti-interference and is fast tra-cing fusion for the jump information.