Title :
Room shape reconstruction with a single mobile acoustic sensor
Author :
Fangrong Peng;Tiexing Wang;Biao Chen
Author_Institution :
Department of EECS, Syracuse University, Syracuse, NY 13244, USA
Abstract :
This paper studies the problem of recovering the geometry of a polygonal room via the room impulse response. Specifically, a single mobile node, with co-located loudspeaker and microphone, is deployed and times of arrival of the first-order echoes are used for room shape reconstruction. The uniqueness of the mapping between the first-order echoes and the room geometry is guaranteed for most polygons with one important exception, namely parallelogram. Algorithmic procedure is proposed to eliminate the higher-order echoes and retrieve the room geometry. Numerical simulations are provided to demonstrate the effectiveness of our approach.
Keywords :
"Shape","Microphones","Image reconstruction","Geometry","Loudspeakers","Numerical models","Conferences"
Conference_Titel :
Signal and Information Processing (GlobalSIP), 2015 IEEE Global Conference on
DOI :
10.1109/GlobalSIP.2015.7418371