Intelligent Indoor Positioning Based on Wireless Signals

Due to the rapid development of intelligent devices, higher requirements are put forward for Location-Based Services (LBS), and indoor positioning based on wireless signals has become one of the important research areas. Because of its good performance, fingerprint positioning has become a mainstream technical solution for indoor positioning based on wireless signals. However, because this technology needs a rich fingerprint database as support, it still faces many technical challenges. In this chapter, we analyze and introduce indoor positioning technologies based on recent artificial intelligence solutions, mainly including traditional machine learning and deep learning methods, and sensor fusion approaches, which solve the problems of inadequate accuracy and efficiency in indoor positioning based on wireless signals. In addition, we introduce examples of intelligent indoor positioning using traditional machine learning, deep learning and crowdsensing.