Please use this identifier to cite or link to this item: https://doi.org/10.1109/IWCMC.2013.6583741
Title: A novel angle-of-arrival assisted extended Kalman filter tracking algorithm with space-time correlation based motion parameters estimation
Authors: Zhang, L.
Chew, Y.H.
Wong, W.-C. 
Keywords: Angle of arrival
Extended Kalman filter
Fusion
Parameter estimation
Space-time correlation
Tracking
Issue Date: 2013
Source: Zhang, L.,Chew, Y.H.,Wong, W.-C. (2013). A novel angle-of-arrival assisted extended Kalman filter tracking algorithm with space-time correlation based motion parameters estimation. 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013 : 1283-1289. ScholarBank@NUS Repository. https://doi.org/10.1109/IWCMC.2013.6583741
Abstract: In this paper, we propose a novel mobile terminal (MT) tracking approach performed at the fixed terminal (FT). The method involves three steps: motion-dependent parameters estimation, extended Kalman filter (EKF) based tracking and enhanced estimation accuracy through additional partial location information. An algorithm based on the space-time correlation of the received signal is first proposed to estimate the radial velocity (both speed and direction) of the MT. The EKF-based tracking is next adopted to estimate the current location of the MT by using the estimated parameters and the previous location estimate. Finally, additional high-resolution angle-of-arrival (HR-AoA) estimate is applied and we show how this partial location information can be fused with the tracking results to further improve the tracking accuracy. The performances of the algorithms are studied through simulations. © 2013 IEEE.
Source Title: 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/68942
ISBN: 9781467324793
DOI: 10.1109/IWCMC.2013.6583741
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