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Hidden Markov model for target tracking with UWB radar systems

Hidden Markov model for target tracking with UWB radar systems

Nijsure, Y., Chen, Yifan, Litchfield, C. and Rapajic, P.B. (2009) Hidden Markov model for target tracking with UWB radar systems. In: Personal, Indoor and Mobile Radio Communications. Institute of Electrical and Electronic Engineers, Inc, Piscataway, NJ, USA, pp. 2065-2069. ISBN 978-1-4244-5123-4 (online), 978-1-4244-5122-7 (print) (doi:10.1109/PIMRC.2009.5450337)

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Abstract

In this paper we demonstrate the application of Hidden Markov Models (HMM) for localization and tracking in ultra wide band (UWB) radar networks. To improve localization, a Voronoi region based approach is utilized to form a HMM for detection and tracking of mobile target. The observations used for the HMM localization are obtained from the power delay profile of the received signals. In UWB systems the use of entire power delay profiles instead of the total power only, allows to reach higher localization accuracy. This is due to the power delay profile being a measure of the power as well as the time of arrival. Simulation results suggest a performance gain of 7dB over the maximum likelihood estimation for localization in presence of path loss at intermediate values of signal to noise ratio (SNR).

Item Type: Conference Proceedings
Title of Proceedings: Personal, Indoor and Mobile Radio Communications
Additional Information: Paper in Proceedings of 2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium held between September 13-16, 2009 Tokyo, Japan. IEEE Catalog Number: CFP09PIM-USB
Uncontrolled Keywords: Hidden Markov Models (HMM), ultra wide band (UWB), Voronoi region based approach, signal to noise ratio (SNR)
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Computer & Communications Engineering
Related URLs:
Last Modified: 14 Oct 2016 09:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/7835

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