Processing Technology of Multi-sensor Position Fingerprint Information

Aiming at the poor stability of the fingerprint library constructed using single sensor location fingerprint information and low positioning accuracy due to insufficient depth of fingerprint feature mining in traditional location fingerprint information processing technology, a new multi-sensor location fingerprint processing technology is proposed. First, the CSI phase and amplitude of the WiFi signal, the RSS of the 4G cellular network and the geomagnetic information are used as the joint location fingerprint information. Then, the convolutional neural network is used to further process the location fingerprint. Experiments show that the proposed method is superior to the commonly used neural network methods in terms of positioning accuracy and stability.