Modelling ranging error of indoor TOA-based position system based on receive signal strength
by Jie He; Qin Wang; Qianxiong Zhang; Yanwei Yu; Bingfeng Liu
International Journal of Sensor Networks (IJSNET), Vol. 13, No. 3, 2013

Abstract: For Time of Arrival (TOA) based indoor position system, the localisation accuracy is significantly affected by the ranging error caused by the severe multipath condition. This paper presents a receive signal strength index (RSSI) based indoor TOA ranging error model, which can be used to estimate the interval of ranging error. In this model, TOA is divided into four classes according to the RSSI of the received data and the error interval of each class can be obtained by analysis and measurement. We described the derivation of the model and then verified it by field testing with commercial available TOA-based localisation system in two typical office environments. Based on the model, we presented a ranging error classification (REC) based indoor TOA localisation algorithm. Result of simulation and field testing shows that the REC algorithm has significantly improved localisation accuracy in the typical indoor environments, comparing with the traditional localisation algorithms.

Online publication date: Fri, 21-Jun-2013

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Sensor Networks (IJSNET):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com