Title :
Random sampling algorithm in RFID indoor location system
Author :
Xu, Bao ; Gang, Wang
Author_Institution :
Dept. of Telecommun. Eng., Jiangsu Univ., China
Abstract :
In this paper, low cost radio frequency identification (RFID) indoor location scheme is proposed by deploying RFID tags and implementing a new localization algorithm to make person holding RFID reader know where he is in real time. In this algorithm, the person´s state space is represented by maintaining a set of random samples. And a localization method that can represent arbitrary distributions is proposed by using a sampling-based representation. Comparison between proposed algorithm and least square (LS) algorithm in TOA indicated that the positioning errors of the proposed algorithm are lower than LS under the nonline-of sight (NLOS) scenarios. For the case that LS is not available when less than three tags deployed, however, the proposed algorithm can keep track of person.
Keywords :
least mean squares methods; radiofrequency identification; signal sampling; time-of-arrival estimation; RFID reader; TOA; indoor location system; least square algorithm; localization algorithm; low cost radio frequency identification; nonline-of sight scenarios; random sampling algorithm; sampling-based representation; Computer vision; Costs; Global Positioning System; Least squares methods; Monte Carlo methods; Optical receivers; RFID tags; Radiofrequency identification; Sampling methods; State-space methods;
Conference_Titel :
Electronic Design, Test and Applications, 2006. DELTA 2006. Third IEEE International Workshop on
Print_ISBN :
0-7695-2500-8
DOI :
10.1109/DELTA.2006.73
