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Selected Works of Kaikai Liu
Article
A Practical UWB TOA Estimator in the Presence of Interference and NLOS
IEEE International Conference on Signal Processing (ICSP) (2010)
  • Kaikai Liu, University of Science and Technology of China
  • Jingjing Ren, University of Science and Technology of China
  • Hao Xu, University of Science and Technology of China
  • Weidong Chen, University of Science and Technology of China
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Abstract
Ultra-wideband (UWB) technology, using time-of-arrival (TOA)-based ranging techniques, is a viable candidate for future location-aware sensor networks. In this paper, we propose an optimized threshold selection technique for UWB TOA estimation. The proposed approach derives the threshold by applying the linear regression to the TOA estimation error probability surface and is applicable to the real-time systems without any prior information. We show that the proposed technique outperforms many other well-known techniques in most SNR regions through the implementation in CM4 channel model. We also demonstrate its superiority to other techniques in the presence of the interference and NLOS.
Disciplines
Publication Date
October, 2010
DOI
10.1109/ICOSP.2010.5657065
Publisher Statement
SJSU users: use the following link to login and access the article via SJSU databases.
Citation Information
Kaikai Liu, Jingjing Ren, Hao Xu and Weidong Chen. "A Practical UWB TOA Estimator in the Presence of Interference and NLOS" IEEE International Conference on Signal Processing (ICSP) (2010) p. 2448 - 2451
Available at: http://works.bepress.com/kaikai-liu/15/