Research Article
Research on Signal Separation Technology for Satellite IoT Signal
@INPROCEEDINGS{10.1007/978-3-030-69069-4_22, author={Yixin Hu and Ziwei Liu and Jing Zeng and Gengxin Zhang}, title={Research on Signal Separation Technology for Satellite IoT Signal}, proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part I}, proceedings_a={WISATS}, year={2021}, month={2}, keywords={Adaptive filtering Signal separation Random multiple access Satellite IoT}, doi={10.1007/978-3-030-69069-4_22} }- Yixin Hu
Ziwei Liu
Jing Zeng
Gengxin Zhang
Year: 2021
Research on Signal Separation Technology for Satellite IoT Signal
WISATS
Springer
DOI: 10.1007/978-3-030-69069-4_22
Abstract
Most of transmitted signals of satellite Internet of Things (IoT) terminals have the characteristics of low baud rate, short packet length and burstiness. The collision of massive access of IoT terminals can be solved by a random multiple access technology in company with an efficient and reliable collision separation method in the receiver. However, most existing signal separation technologies are proposed for continuous signals, and the receiving structure is designed based on the phase-locked loop. In this paper, a short burst signal separation method based on adaptive minimum mean square error (MMSE) filtering is proposed for the classical contention resolution diversity slotted Aloha (CRDSA). The proposed method estimates the frequency and phase difference between copies by amplitude and phase estimation (APES) firstly and cancels the collision signal based on a MMSE filter. The theoretical analysis and simulation results verify the feasibility of the proposed method.
