Hybrid RSS-DOA technique for enhanced WSN localization in a correlated environment

Author

AlHajri, M.I. ; Goian, A. ; Darweesh, M. ; AlMemari, R. ; Shubair, R.M. ; Weruaga, L. ; Kulaib, A.R.

Author_Institution

Dept. of Electr. & Comput. Eng., Khalifa Univ., Abu Dhabi, United Arab Emirates

fYear

2015

fDate

17-19 May 2015

Firstpage

238

Lastpage

241

Abstract

This paper proposes a modified hybrid method for WSN localization that combines Received Signal Strength (RSS) and Direction of Arrival (DOA) estimation based on MUSIC (Multiple Signal Classification) using circular antenna array with smoothing capability. Simulation results proves the enhanced performance obtained using the proposed hybrid method. This takes the form of successful detection of a mixture of correlated and uncorrelated signals at a higher accuracy and lower Root Mean Square Error (RMSE) in comparison with conventional method.

Keywords

antenna arrays; antenna radiation patterns; correlation methods; direction-of-arrival estimation; mean square error methods; signal classification; signal detection; smoothing methods; wireless sensor networks; MUSIC; RMSE; WSN localization enhancement; circular antenna array; correlated environment; correlated signal detection; direction-of-arrival estimation; hybrid RSS-DOA technique; multiple signal classification; received signal strength; root mean square error; smoothing capability; uncorrelated signal detection; wireless sensor network; Antennas; Arrays; Covariance matrices; Direction-of-arrival estimation; Multiple signal classification; Smoothing methods; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technology Research (ICTRC), 2015 International Conference on

Conference_Location

Abu Dhabi

Type

conf

DOI

10.1109/ICTRC.2015.7156466

Filename

7156466