Indoor object localization

Author

Marulkar, Sameer ; Prabhu, Vittal ; Khadilkar, Mrunal

Author_Institution

Electron. & Tele-Commun. Dept., Pune Univ., Pune, India

fYear

2013

fDate

26-28 July 2013

Firstpage

1

Lastpage

5

Abstract

Setting up of any indoor localization system involves many difficulties. This paper proposes a Simple, Low cost & Small sized system for indoor localization. The basic processing elements of this system constitute RSSI & LQI (symbol error rate). An ISM band compliant low cost cc2500 zigbee module capable of outputting digital RSSI and LQI values is used for the establishment of wireless sensor network. Used process is a filtering method coupled with implementation of path loss algorithm on Matlab´11 platform. MMSE (minimum mean square estimation) algorithm is implemented for computing optimal system parameters. Ultimately a GUI displays the tracked elements.

Keywords

Zigbee; graphical user interfaces; indoor communication; mean square error methods; wireless sensor networks; GUI displays; ISM band; LQI; MMSE; Matlab; RSSI; basic processing elements; cc2500 zigbee module; filtering method; indoor object localization; minimum mean square estimation; optimal system parameters; path loss algorithm; symbol error rate; wireless sensor network; Educational institutions; Equations; Graphical user interfaces; MATLAB; Mathematical model; Position measurement; Receivers; 2.4GHz; LQI; MATLAB; MMSE; RSSI; cc 2500;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless and Optical Communications Networks (WOCN), 2013 Tenth International Conference on

Conference_Location

Bhopal

ISSN

2151-7681

Print_ISBN

978-1-4673-5997-9

Type

conf

DOI

10.1109/WOCN.2013.6616249

Filename

6616249