Title :
A practical indoor TOA ranging error model for localization algorithm
Author :
He, Jie ; Wang, Qin ; Zhan, Qianxiong ; Liu, Bingfeng ; Yu, Yanwei
Author_Institution :
Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol., Beijing, China
Abstract :
This paper presents an practical RSSI based TOA ranging error model (RITEM) for localization algorithm, which can be used to estimate ranging error interval in real time. In RITEM, ranging error is classified into four classes by the RSSI value in TOA ranging process and ranging error of each class always within a certain interval. RITEM is verified by field tests in two typical indoor environments. Then, RITEM is applied into Ranging Error Classification (REC) based TOA localization algorithm to introduce its application methodology. Experiment result indicates that REC algorithm has significantly improved performance in typical indoor environment, comparing with LS, CN-TOAG and Nano localization algorithms.
Keywords :
error analysis; indoor communication; time-of-arrival estimation; CN-TOAG; RITEM; RSSI based TOA ranging error model; indoor TOA ranging error model; nano localization algorithms; ranging error classification; RTLS; TOA; indoor location system; indoor positioning system(IPS); localization algorithm;
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2011 IEEE 22nd International Symposium on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4577-1346-0
Electronic_ISBN :
pending
DOI :
10.1109/PIMRC.2011.6139685
