콘텐츠 본문
논문 해외 국제전문학술지(SCI급) CNN-based Tx-Rx distance estimation for UWB system localisation
- 학술지 구분 국제전문학술지(SCI급)
- 게재년월 2019-08
- 저자명 정의림공동(교신),정진곤,정성문,정성훈
- 학술지명 ELECTRONICS LETTERS
- 발행처명 INST ENGINEERING TECHNOLOGY-IET
- 발행국가 해외
- 논문언어 외국어
- 전체저자수 4
논문 초록 (Abstract)
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.
