A 3D self-positioning method for wireless sensor nodes based on linear FMCW and TFDA
Document Type
Conference Proceeding
Publication Date
12-1-2009
Abstract
In wireless sensor networks (WSN), location information acquisition is critical to guarantee their performance. This paper presents a new positioning method in WSN with high precision at reasonable implementation cost for 3D case. Reference nodes with known locations transmit linear frequency modulation continuous wave (FMCW), while other sensor nodes estimate the range difference to them based on the received signals' frequency difference, called time frequency difference arrival (TFDA). The location information can be obtained by solving a set of hyperbolic equations. Two different positioning methods: Taylor iterative method and Chan's method are inspected and compared in terms of accuracy, constraints and computational complexity. This proposed technique is cost-effective, scalable and easy to implement. The simulation results show that the new method enjoys high precision. ©2009 IEEE.
Identifier
74949096983 (Scopus)
ISBN
[9781424427949]
Publication Title
Conference Proceedings IEEE International Conference on Systems Man and Cybernetics
External Full Text Location
https://doi.org/10.1109/ICSMC.2009.5345923
ISSN
1062922X
First Page
2990
Last Page
2995
Recommended Citation
Liu, Lichuan; Manli, E.; Wang, Zhigang; and Zhou, Meng Chu, "A 3D self-positioning method for wireless sensor nodes based on linear FMCW and TFDA" (2009). Faculty Publications. 11791.
https://digitalcommons.njit.edu/fac_pubs/11791
