Method for Estimating Distance Using Channel Amplitude Infomration Estimated from LTE signal Based on Neural Network

摘要

Disclosed is an artificial neural network-based distance estimation method using channel amplitude information estimated from LTE signals. The disclosed method includes: obtaining amplitude information of an estimated channel from an LTE signal collected through an LTE signal receiver in a plurality of environments; and inputting the obtained amplitude information into an artificial neural network model to obtain a distance between a base station and a user terminal, wherein the artificial neural network model has a CNN structure, and the CNN structure includes a convolutional layer, a pooling layer and an FC layer. include According to the disclosed method, there is an advantage in that multiple signals exist in an urban area and the accuracy of positioning can be guaranteed in an NLOS environment.