A Survey of Indoor Location Algorithms Based on AOA

Abstract

Indoor location algorithm has become a research hotspot in the past decades for its wide applications, such as object tracking, personnel localization, and many other rising applications. Yet the mature commercial products are still in demand. In this paper, we present and analyze three representative and effective indoor location algorithms which are only based on angle of arrival (AOA). The three methods are the Averaging method, the Weighted Least Squares (WLS) method and the Clustering-based method. Moreover, a large number of simulation experiments are conducted to analyze their characteristics and performance.