NDLI: Adaptive multi-task compressive sensing for localisation in wireless local area networks

Content Provider	IET Digital Library
Author	Li, Rongpeng Zhao, Zhifeng Zhang, Yuan Palicot, Jacques Zhang, Honggang
Abstract	The spatially distributed sparsity of the mobile devices (MDs) in indoor wireless local area networks (WLANs) makes compressive sensing (CS) based localisation algorithms feasible and desirable. In this Letter, the authors exploit the most recent developments in CS to efficiently perform localisation in WLANs and design an accurate indoor localisation scheme by taking advantage of the theory of multi-task Bayesian CS (MBCS). The proposed scheme assembles the strength measurements of signals from the MDs to distinct access points (APs) and jointly utilises them at a central unit or a specific AP to achieve localisation, thus being able to alleviate the burden of MDs while simultaneously giving a precise estimation of the locations. Afterwards, they give a deeper insight into the localisation problem in more practical scenarios with varying number of MDs and investigate two different adaptive algorithms to meet the satisfactory localisation error requirement. Compared with the conventional MBCS algorithms, simulation results validate that both adaptive algorithms could provide superior localisation accuracy and exhibit stronger resilience to the changes in the number of MDs.
Starting Page	1736
Ending Page	1744
Page Count	9
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 10, Jul (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2013.1019
Journal	IET Communications
Publisher	The Institution of Engineering and Technology
Publisher Date	2014-05-19
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Access Points Adaptive Algorithm Adaptive Multitask Compressive Sensing Adaptive Signal Processing Compressed Sensing Computer Communication Digital Signal Processing Indoor Localisation Scheme Indoor WLAN Local Area Network Localisation Accuracy Localisation Error Requirement Localisation Problem Location Estimation Precision MBCS Algorithm Mobile Device Mobile Radio Mobile Radio System Mobility Management Multitask Bayesian CS Network Management Sensor Placement Signal Processing And Detection Signal Strength Measurement Spatial Distributed Sparsity Wireless LAN Wireless Local Area Network
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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