Random sampling algorithm in RFID indoor location system

Author

Xu, Bao ; Gang, Wang

Author_Institution

Dept. of Telecommun. Eng., Jiangsu Univ., China

fYear

2006

fDate

17-19 Jan. 2006

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Design, Test and Applications, 2006. DELTA 2006. Third IEEE International Workshop on

Print_ISBN

0-7695-2500-8

Type

conf

DOI

10.1109/DELTA.2006.73

Filename

1581207