DocumentCode :
2165572
Title :
Cooperative mobile network localization via subspace tracking
Author :
Rad, Hadi Jamali ; Amar, Alon ; Leus, Geert
Author_Institution :
Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology (TU Delft), the Netherlands
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
2612
Lastpage :
2615
Abstract :
Two novel cooperative localization algorithms for mobile wireless networks are proposed. To continuously localize the mobile network, given the pairwise distance measurements between different wireless sensor nodes, we propose to use subspace tracking to track the variations in signal eigenvectors and corresponding eigenvalues of the double-centered distance matrix. We compare the computational complexity of the new algorithms with a recently developed algorithm exploiting the extended Kalman filter (EKF) and show that our proposed algorithms are computationally efficient, and hence, appropriate for practical implementations compared to the EKF. Simulation results further illustrate that the proposed algorithms are more accurate when the distance errors are small (low noise scenarios) in comparison with the EKF, while being more robust to the sampling period in high noise scenarios.
Keywords :
Computational complexity; Eigenvalues and eigenfunctions; Mobile communication; Mobile computing; Noise; Wireless sensor networks; Wireless sensor networks; cooperative mobile localization; multidimensional scaling; subspace tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague, Czech Republic
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5947020
Filename :
5947020
Link To Document :
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