Optimal Solution for Localization of a Target Using RSS-AOA Measurements

摘要

In many industrial areas, the localization method using the active radio signal is widely used due to its reliability under indoor environment compared with global positioning system (GPS). Received signal strength (RSS) and angle of arrival (AOA) measurement based localization is a commonly used scheme for location estimation using active radio source from a target. In this paper, we propose the hybrid localization method using RSS and AOA measurement that has advantages of each localization scheme. However, the measurement noise in RSS and AOA data causes the estimation inaccuracy of a target location. In order to improve the localization accuracy, Newton method is applied to hybrid localization model based objective function that denotes the amount of estimation error. The optimal solution of a target location is acquired through the iteration process based on hybrid localization model and Newton method. Some simulation results demonstrate the effectiveness of our proposed scheme.