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  5. Non-Line of Sight Mitigation using a Measurement and Positioning Filtering Algorithm
 
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Non-Line of Sight Mitigation using a Measurement and Positioning Filtering Algorithm

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Download Non-Line_of_Sight_Mitigation_using_a_Measurement_and_Positioning_Filtering_Algorithm.pdf191.73 KB
Author(s)
Gonzalez-Hernandez, Juan 
Bleakley, Chris J. 
Uri
http://hdl.handle.net/10197/7038
Date Issued
19 June 2008
Date Available
16T11:08:28Z September 2015
Abstract
In recent years, research interest in location systems has increased due to the emergence of mobile computing devices and the promise of Ubiquitous Computing. This paper considers the problem arising in ultrasonic location systems of Non-Line of Sight (NLOS) between Base Stations and Mobile Devices, which can give significant location errors. Herein, a Dual Kalman Filtering method is proposed to mitigate NLOS effects, using an a-priori partial knowledge of the ultrasonic signals. The main advantage of this method is that the first filter provides a set of filtered ranges that mitigates the NLOS ranging error, while the second filter, by taking these measurements, provides a second positioning filtering that mitigates the overall positioning error. The method is shown to reduce location errors providing a maximum error in location of 9cm.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Keywords
  • NLOS

  • Dual filter

  • Location

  • Ultrasonic

  • Kalman filter

Web versions
http://2008.issc.ie/
Language
English
Status of Item
Peer reviewed
Description
16th IET Irish Signals and Systems Conference (ISSC), Galway, Ireland, 18 - 19 June, 2008
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
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