An Indoor WiFi Fingerprint Positioning Based on RSS and CSI

Numerous people to determine the location by wireless fingerprint technology indoors at present. The premise of fingerprint positioning is to assume that the received signal strength distance is consistent with the positioning distance. However, due to the interference of obstacles such as walls, desks, chairs, pedestrians, the closest distance selected using the received signal strength distance may not be the closest to the target at its corresponding position, which may lead to large positioning errors. To improve accuracy, this paper analyzes the advantages of the respective features of RSS and CSI, use algorithms to extract them, and proposes a novel WiFi fingerprint positioning algorithm for fusion to estimate the target location. The experimental data show that this method has certain advantages in improving positioning accuracy.