Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICSPCS.2012.6507962
Title: A RSS based statistical localization algorithm in WLAN
Authors: Wang, L. 
Wong, W.-C. 
Issue Date: 2012
Source: Wang, L.,Wong, W.-C. (2012). A RSS based statistical localization algorithm in WLAN. 6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012 - Proceedings : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICSPCS.2012.6507962
Abstract: With the proliferation of location based services (LBS), various indoor localization techniques have been explored based on received signal strength (RSS). To improve performance, many algorithms and techniques have been proposed in the literature. In this paper, a new RSS based statistical location algorithm is proposed to achieve better localization performance, with a focus on statistical analysis and reasoning in wireless local area network (WLAN). Experimental results demonstrate our proposed algorithm outperforms and more than 20 percent reduction in root mean square error (RMSE) has been achieved, through comparisons with some other existing algorithms. Moreover, it has also been verified that number of training locations can be reduced without too much performance degradation. © 2012 IEEE.
Source Title: 6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012 - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/51096
ISBN: 9781467323932
DOI: 10.1109/ICSPCS.2012.6507962
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Jan 16, 2018

Page view(s)

53
checked on Jan 12, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.