气体传感器阵列信号的盲分离研究  

Studies on Blind Separation of Gas Sensor Array Signals

作　　者：魏广芬[1] 唐祯安[1] 陈正豪[2] 余隽[1] 王立鼎[1] 闫桂珍[3] 

机构地区：[1]大连理工大学微系统研究中心,大连116024 [2]香港科技大学电机与电子工程系 [3]北京大学微电子学研究所,北京100871

出　　处：《高等学校化学学报》2006年第1期55-57,共3页Chemical Journal of Chinese Universities

基　　金：国家自然科学基金(批准号:59995550-5;90207003);国家'八六三'计划项目(批准号:2003AA404180)资助

摘　　要：Responses of a Micro-hotplate based integrated gas sensor array to CO and CH4 were measured with an automated gas sensor calibration system.Combining with the blind source separation（BSS） techniques,the blind separability in gas mixture analysis was discussed.The widely used BSS approach-Independent Component Analysis（ICA） was adopted to verify the proposed method by analyzing the gas mixtures of CO and CH4.The analysis results demonstrate that BSS was an effective way to extract the information of gas components in mixtures,from which the gas concentrations can be estimated.The average relative quantification errors were 9.37% and 8.11% for CO and CH4,respectively,in the specified concentration ranges.Responses of a Micro-hotplate based integrated gas sensor array to CO and CH4 were measured with an automated gas sensor calibration system. Combining with the blind source separation（BSS） techniques, the blind separability in gas mixture analysis was discussed. The widely used BSS approach-Independent Component Analysis（ICA） was adopted to verify the proposed method by analyzing the gas mixtures of CO and CH4. The analysis results demonstrate that BSS was an effective way to extract the information of gas components in mixtures, from which the gas concentrations can be estimated. The average relative quantification errors were 9.37% and 8.11% for CO and CH4, respectively, in the specified concentration ranges.

关 键 词：盲信号分离 气体传感器阵列 混合气体分析 独立分量分析法 

分 类 号：O659[理学—分析化学] TP212.2[理学—化学]