Kernel Principal Component Analysis for UWB-Based Ranging
2014 (English)In: IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014, 2014, 145-149 p.Conference paper (Refereed)
Accurate positioning in harsh environments can enable many application, such as search-and-rescue in emergency situations. For this problem, ultra-wideband (UWB) technology can provide the most accurate range estimates, which are required for range-based positioning. However, it still faces a problem in non-line-of-sight (NLOS) environments, in which range estimates based on time-of-arrival (TOA) are positively biased. There are many techniques that try to address this problem, mainly based on NLOS identification and NLOS error mitigation. However, these techniques do not exploit all available information from the UWB channel impulse response. In this paper, we propose a novel ranging technique based on kernel principal component analysis (kPCA), in which the selected channel parameters are projected onto nonlinear orthogonal high-dimensional space, and a subset of these projections is then used for ranging. We tested this technique using UWB measurements obtained in a basement tunnel of Linkoping university, and found that it provides much better ranging performance comparing with standard techniques based on PCA and TOA.
Place, publisher, year, edition, pages
2014. 145-149 p.
, IEEE International Workshop on Signal Processing Advances in Wireless Communications, ISSN 2325-3789
ranging, ultra-wideband, time-of-arrival, kernel principal component analysis, machine learning
Communication Systems Signal Processing
IdentifiersURN: urn:nbn:se:liu:diva-106648DOI: 10.1109/SPAWC.2014.6941337ISI: 000348859000030ISBN: 978-1-4799-4903-8OAI: oai:DiVA.org:liu-106648DiVA: diva2:717719
15th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2014), 22-25 June 2014, Toronto, Canada
FunderSwedish Foundation for Strategic Research eLLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications