基于FastICA算法的大气监测电子鼻设备的研究探讨

电子鼻是一种由具有部分选择性的化学传感器阵列和适当的模式识别系统组成,能识别简单或复杂气味的仪器,它模拟人的嗅觉系统,检测、分析、识别气味成分,广泛应用于现场污染源排放监测、突发事故现场的应急检测、作业场所安全监测和分析、污染气监测和分析。本设计由气体传感器阵列进行实时实地测量,由DSP芯片进行数据处理,采用盲源分离（BSS）原理,利用独立分量分析（ICA）算法分离出混合前的多个独立信号。便携式电子鼻由于其成本低、易携带、通用性好、能现场即时检测等特点在大气监测领域将会有广阔的应用前景。

STUDY ON AIR MONITORING ELECTRONIC NOSE BASED ON FASTICA

Electronic nose is a part by a selective chemical sensor array and an appropriate pattern recognition system,to identify the odor of simple or complex,it simulates the human olfactory system,detection,analysis,identification of odor components,identification of odor components.Widely used in electronic nose detection and scientific research environment and many other occasions.The gas sensor array designed for real-time field measurements,and data processing using the DSP chip.Distinguish between the smell of the data processing using blind source separation（BSS） theory,the use of independent component analysis（ICA） algorithm to solve such problems,to isolate a number of independent pre-mixed signal.Portable electronic nose because of its low cost,portable,versatile,and can immediately detect the characteristics of the scene at the market will be a wide application prospect.