Title :
RSS-Based Sensor Localization in the Presence of Unknown Channel Parameters
Author :
Gholami, Mohammad Reza ; Vaghefi, R.M. ; Strom, Erik G.
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden
Abstract :
This correspondence studies the received signal strength-based localization problem when the transmit power or path-loss exponent is unknown. The corresponding maximum-likelihood estimator (MLE) poses a difficult nonconvex optimization problem. To avoid the difficulty in solving the MLE, we use suitable approximations and formulate the localization problem as a general trust region subproblem, which can be solved exactly under mild conditions. Simulation results show a promising performance for the proposed methods, which also have reasonable complexities compared to existing approaches.
Keywords :
concave programming; maximum likelihood estimation; signal processing; MLE; RSS-based sensor localization; approximations; general trust region subproblem; maximum-likelihood estimator; nonconvex optimization problem; received signal strength-based localization problem; unknown channel parameters; General trust region subproblem; localization; path-loss exponent; received signal strength; transmit power; wireless sensor network;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2013.2260330