With the dense deployment and wide applications of the Internet of Things in railway systems, the location‐based security access control scheme is becoming increasingly important. In this study, the received signal strength (RSS) and channel state information (CSI) in railway communications are measured by AR9344 network interface card. Then, based on the measurement data, the authors propose trajectory‐based, neural network‐based (NN‐based) and ray tracing‐based (RT‐based) localisation algorithms, serving for location‐based security access control. Specifically, the trajectory‐based algorithm combined with trajectory simulation, movement detection and dynamic time warping algorithms, realises passengers enter/exit pattern detection. The NN‐based algorithm leverages back‐propagation network (BPN) and constructs training sets with measurement‐based RSS and CSI, finishing accurate localisation. Besides, they evaluate the algorithm performance under different layers of BPN. RT‐based localisation algorithm combines measurement data and simulation analysis, leveraging simulated‐based multiple‐input multiple‐output received power and delay spread to realise lightweight localisation. After evaluation, the RT‐based algorithm can achieve the highest accuracy of localisation, up to 99.9% and is designed to be straightforward for integration with commercial access points and deployment to railway communications.
Localisation algorithm for security access control in railway communications
IET Intelligent Transport Systems ; 14 , 14 ; 2151-2159
2020-12-01
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
measurement‐based RSS , lightweight localisation , Internet of Things , location‐based security access control scheme , backpropagation , measurement data , received signal strength , accurate localisation , neural nets , railway communication , leverages back‐propagation network , telecommunication security , ray tracing , trajectory‐based algorithm , NN‐based algorithm , MIMO communication , authorisation , RSSI , wireless channels , AR9344 network interface card , dense deployment , indoor radio , CSI , railway systems , algorithm performance , RT‐based localisation algorithm , trajectory simulation , railway communications , neural network‐based , commercial access points
Localisation algorithm for security access control in railway communications
IET | 2021
|An innovative localisation algorithm for railway vehicles
Tema Archiv | 2014
|An innovative localisation algorithm for railway vehicles
Kraftfahrwesen | 2014
|An innovative localisation algorithm for railway vehicles
Taylor & Francis Verlag | 2014
|Vehicle localisation on the Rhaetian Railway
IuD Bahn | 2008
|