Comparison of Super-Resolution Algorithms for TOA Estimation in Indoor IEEE 802.11 Wireless LANs

Author

Zhao, Fang ; Yao, Wenbing ; Logothetis, Catharina Carlemalm ; Song, Yonghua

Author_Institution

Electron. & Comput. Eng., Brunel Univ., Uxbridge

fYear

2006

fDate

22-24 Sept. 2006

Firstpage

1

Lastpage

5

Abstract

In this paper, we compare the second and fourth order super-resolution time-of-arrival (TOA) estimation of frequency domain in an IEEE 802.11b network for location positioning. The performance of the super-resolution TOA estimation methods are valued by two parameters: mean distance error and standard deviation of the distance estimation error. Five hundred timed Monte Carlo simulations have been done in Matlab, and simulation results indicate that more accurate TOA estimation results can be achieved by the use of ESPRIT algorithms in super-resolution TOA method algorithm under the affecting of SNR

Keywords

Monte Carlo methods; frequency-domain analysis; indoor radio; time-of-arrival estimation; wireless LAN; ESPRIT algorithms; Monte Carlo simulations; TOA estimation; indoor IEEE 802.11 wireless LAN; location positioning; mean distance error; super-resolution algorithms; time-of-arrival estimation; Bandwidth; Design engineering; Frequency domain analysis; Frequency estimation; Military computing; Multiple signal classification; Parameter estimation; Signal resolution; Time of arrival estimation; Wireless LAN;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2006. WiCOM 2006.International Conference on

Conference_Location

Wuhan

Print_ISBN

1-4244-0517-3

Type

conf

DOI

10.1109/WiCOM.2006.337

Filename

4149514