Especificação de um sistema de posicionamento em ambiente fechado através do método da direção de chegada

Abstract

The need for accurate methods of indoor positioning system (IPS) is evident, wether for locating employees in an industry or even visitors in a museum or shopping mall. Some of the factors that boost this are the needs of the Industry 4.0 and the massive use on the Internet of Things (IoT). In the case of the industrial area, it is essential to optimize the workers’ work flow, by monitoring their movement. In museums and shopping malls, it is interesting to know where the user is to provide explanatory texts, via smartphone, about the exhibited art or advertisements for nearby stores, respectively. However, commonly used technologies, like the Global Navigation Satellite System (GNSS), present low accu-racy for indoor positioning, due to a gap on the line of sight between the satellites and the users inside the environment. Thus, researches was expanded with the aim of optimizing existing methods that provides high accuracy at indoor environment. The current work aims at an analysis of the existing technologies, methods and algorithms, of the state-of-the-art, for indoor positioning estimation. Thus, we defined specifications for the project of a system for indoor localization using the Direction of Arrival (DOA) method and the Multiple Signal Classifier (MUSIC), that consists into a method of the signal subspace for DOA estimative. In addition, a linear uniform array (ULA) of four elements will be used on the receiver and a transmitter coupled to the individual that is to be located. The complete system is composed of 2 receivers and 1 transmitter. Keywords: Signal processing, IPS, DOA, MUSIC.