A Support Vector Data Description Approach to NLOS Identification in UWB Positioning. (19th May 2014)

• Record Type: Journal Article
• Authors: Tian, Shiwei; Zhao, Luwen; Li, Guangxia
• Other Names: Sapountzakis Evangelos J. Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2014(2014)
• Publication Date: 2014-05-19
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2014/963418
• Languages: English
• ISSNs: 1024-123X

Abstract

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.