CNN‐based Tx–Rx distance estimation for UWB system localisation

In this Letter, the authors propose a novel convolutional neural network (CNN)‐based estimation of the distance between an ultra‐wideband (UWB) transmitter and receiver for a localisation. By exploiting the UWB signal characteristics, such as high‐resolution in the time domain, the CNN is designed. The proposed CNN‐based method estimates the distance from only the received signals, without signal‐to‐noise ratio information which is used for the conventional time of arrival (TOA)‐based methods. Furthermore, as verified by simulation, the proposed CNN‐based method significantly outperforms the conventional TOA‐based method with respect to the distance estimation accuracy.