Range based sensor node localization in the presence of unknown clock skews
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27966
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
- Conference Paper 
We deal with the positioning problem based on two-way time-of-arrival (TW-TOA) measurements in asynchronous wireless sensor networks. The optimal estimator for this problem poses a difficult global optimization problem. To avoid the drawbacks in solving the optimal estimator, we use approximations and derive linear models, which facilitate efficient solutions. In particular, we employ the least squares method and solve a general trust region subproblem to find a coarse estimate. To further refine the estimate, we linearize the measurements and obtain a linear model which can be solved using regularized least squares. Simulation results illustrate that the proposed approaches asymptotically attain the Cramér-Rao lower bound. © 2013 IEEE.
Showing items related by title, author, creator and subject.
Pilanci, M.; Arikan, O.; Pinar, M.C. (2010)A novel approach is proposed to provide robust and accurate estimates for linear regression problems when both the measurement vector and the coefficient matrix are structured and subject to errors or uncertainty. A new ...
Guvenc I.; Gezici, S.; Sahinoglu, Z. (2012)In this paper, theoretical lower bounds on performance of linear least-squares (LLS) position estimators are obtained, and performance differences between LLS and nonlinear least-squares (NLS) position estimators are ...
Theoretical limits and a practical estimator for joint estimation of respiration and heartbeat rates using UWB impulse radio Gezici, S.; Ankan O. (2007)In this paper, Cramer-Rao lower bounds are derived fo r joint estimation of respiration and heartbeat rates via impulse radio ultra-wideband signals. Generic models are employed for displacement functions due to respiration ...