Indoor contaminant source estimation using a multiple model unscented Kalman filter

• Main Authors: Yang, Rong, Foo, Pek Hui, Tan, Peng Yen, See, Elaine Mei Eng, Ng, Gee Wah, Ng, Boon Poh
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/101970; http://hdl.handle.net/10220/19822; http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290526
• Institution: Nanyang Technological University

The contaminant source estimation problem is getting increasing importance due to more and more occurrences of sick building syndrome and attacks from covert chemical warfare agents. To monitor a building contamination condition, a number of sensors are connected through a network, and the sensor me...