Compressive sensing applied to fingerprint-based localisation

Author

Qiao Cheng ; Munoz, Max ; Alomainy, Akram ; Yang Hao

Author_Institution

Sch. of Electron. Eng. & Comput. Sci., Queen Mary, Univ. of London, London, UK

fYear

2014

fDate

8-10 Dec. 2014

Firstpage

1

Lastpage

3

Abstract

Accurate localisation has always been a hot topic for indoor environment. Recently, compressive sensing has been applied to fingerprinting based localisation and achieved good performance. This paper provides an overview of the state-of-the-art compressive sensing based indoor localisation techniques and an introduction to potential solutions to challenges faced by current systems. The main focus is on the drawbacks of the existing techniques and possible future development.

Keywords

RSSI; biomedical communication; compressed sensing; fingerprint identification; health care; indoor radio; wireless LAN; wireless sensor networks; compressive sensing; fingerprinting based localisation; indoor localisation techniques; Accuracy; Compressed sensing; Fingerprint recognition; Sensors; Sparse matrices; Vectors; Wireless sensor networks; Compressive sensing; RSSI; fingerprinting; indoor localisation; sparse approximation;

fLanguage

English

Publisher

ieee

Conference_Titel

RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), 2014 IEEE MTT-S International Microwave Workshop Series on

Conference_Location

London

Print_ISBN

978-1-4799-5445-2

Type

conf

DOI

10.1109/IMWS-BIO.2014.7032449

Filename

7032449