Hide menu

Available internal projects

Performance analysis of UWB-based time-of-arrival estimation techniques in multipath environments

Contact: <Unknown username: vlasa73>

Background

The information about separation distance between a pair of nodes in wireless network can be obtained using signal propagation delay, also known as time-of-arrival (TOA). Typical TOA estimators [1] can be broadly classified as maximum likelihood (ML) estimators and energy-detectors (ED). Their goal is to estimate first arriving signal path from the channel impulse response. If there is line-of-sight (LOS) between transmitter and receiver, typically all techniques provide good results. However, if LOS is blocked by some obstacle, first path will be attenuated and mixed with noise, so TOA estimate will be positively biased. Ultra-wide-band (UWB) signals [2] offer the potential of achieving high estimation accuracy due to its ability to resolve multipath, penetrate the obstacles and provide very high temporal resolution. Therefore, we focus on UWB signals in this project.

Problem statement

In this project, the goal is to analyse and compare different TOA estimation techniques using real-data set obtained in the basement tunnel at Linkoping University. The data consists of thousands of UWB impulse responses corresponding to LOS and variety of NLOS scenarios. Finally, selected techniques can be applied for localization of a mobile user [2, 3].

Prerequisites

Student should have strong background in probability and statistics, estimation theory, and good programming skills in MATLAB. Some experience in localization & tracking is preferable, but not a must.

References

[1] Dardari, D.; Conti, A.; Ferner, U.; Giorgetti, A. and Win, M. Z., Ranging With Ultrawide Bandwidth Signals in Multipath Environments, Proceedings of the IEEE, Feb. 2009.
[2] Gezici, S.; Tian, Z.; Giannakis, G. B.; Kobayashi, H.; Molisch, A. F.; Poor, H. V. and Sahinoglu, Z., Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks, IEEE Signal Processing Magazine, July 2005.
[3] Gustafsson, F. and Gunnarsson, F., Mobile positioning using wireless networks: possibilities and fundamental limitations based on available wireless network measurements, IEEE Signal Processing Magazine, July 2005.

Page responsible: Danyo Danev
Last updated: 2015 01 13   15:51