As services using the Internet of Things (IoT) are diversified, it is very important to estimate the location of the device. Though network based localization using radio frequency (RF) signals is widely used in indoor environments. The proposed metho...
As services using the Internet of Things (IoT) are diversified, it is very important to estimate the location of the device. Though network based localization using radio frequency (RF) signals is widely used in indoor environments. The proposed method utilizes neural network to improve the error of the existing localization method in indoor environment. Experimental results show that the proposed method outperforms the beamforming method and performs well in NLOS environments.