摘要
基于传统数字滤波方法在抗干扰性方面存在的问题,在统计意义下定义不确定信息的模糊支持区间和模糊支持概率后,利用概率源合并理论,提出一种特别适合智能仪表的信息融合方法。通过数据测试分析表明本方法具有较好的抗干扰能力,并能较好地克服由于多个同向干扰所带来的传统滤波方法的不稳定性。
?Due to the problems of traditional digital filter in antiinterference,after defining the fuzzy support interval and fuzzy support probability of unascertained information from a statistical view, based on the probability source combining theory,a method of information fusion that quite suits intelligent instruments is brought up.Analyses of some data test show this method excels in antiinterference and can overcome the nonstability of traditional digital filter when there is much same directional interference.
出处
《传感器技术》
CSCD
北大核心
2003年第3期30-32,共3页
Journal of Transducer Technology
关键词
不确定信息
智能仪表
融合
稳定性
unascertained information
intelligent instruments
fusion
stability
