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Mathematical Problems in Engineering
Volume 2014, Article ID 963418, 6 pages
http://dx.doi.org/10.1155/2014/963418
Research Article

A Support Vector Data Description Approach to NLOS Identification in UWB Positioning

College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China

Received 18 February 2014; Revised 2 May 2014; Accepted 3 May 2014; Published 19 May 2014

Academic Editor: Evangelos J. Sapountzakis

Copyright © 2014 Shiwei Tian et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Non-line-of-sight (NLOS) propagation is one of the most important challenges in radio positioning, and, in recent years, significant attention has been drawn to the identification and mitigation of NLOS signals. This paper focuses on the identification of NLOS signals. The authors consider the NLOS identification problem as a one-class classification problem and apply the support vector data description (SVDD), providing accurate data descriptions utilizing kernel techniques, to perform NLOS identification in ultrawide bandwidth (UWB) positioning. Our work is based on the fact that some features extracted from the received signal waveforms, such as the kurtosis, the mean excess delay spread, and the root mean square delay spread, are different between line-of-sight (LOS) and NLOS signals. Numerical simulations are performed to demonstrate the performance, using a dataset derived from a measurement campaign.