Title :
Large-Signal Robustness of the Chair-Varshney Fusion Rule Under Generalized-Gaussian Noises
Author :
Park, Jintae ; Kim, Eunchan ; Kim, Kiseon
Author_Institution :
Sch. of Inf. & Mechatron., Gwangju Inst. of Sci. & Technol., Gwangju, South Korea
Abstract :
The Chair-Varshney rule (CVR) has been used to provide a large signal-to-noise ratio (SNR) approximation of the optimal fusion rule under Gaussian noise. For more practical use in sensor networks, this paper extends CVR to Generalized-Gaussian noise channels, along with verification of the suboptimality and robustness of CVR under the Generalized-Gaussian channel noise through the use of Monte Carlo simulations.
Keywords :
Gaussian channels; Gaussian noise; Monte Carlo methods; approximation theory; sensor fusion; wireless sensor networks; Chair-Varshney fusion rule; Monte Carlo simulations; generalized-Gaussian noise channels; large signal robustness; large signal-to-noise ratio approximation; wireless sensor networks; Decision fusion; generalized Gaussian; wireless sensor networks;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2010.2045157
