Open AccessResearch on Continuous Signal Mask Separation in Satellite Communication
Author(s) -
Jing Zeng,
Gengxin Zhang,
Ziwei Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1920/1/012114
Subject(s) - computer science , communications satellite , signal (programming language) , channel (broadcasting) , scheme (mathematics) , least mean squares filter , separation (statistics) , adaptive filter , electronic engineering , filter (signal processing) , algorithm , satellite , telecommunications , engineering , mathematics , machine learning , mathematical analysis , programming language , aerospace engineering , computer vision
With the rapid development of communication technology, satellite communication has been very popular in our life. However, due to the openness of satellite communication channel, the communication security has been a hot topic. The large signal masking technology is a potential solution to improve the safety of satellite communications in recent years. To achieve this technique, an efficient and reliable signal separation method must be supplemented at the receiver. Based on existing methods, there are problems of low accuracy of parameter estimation and complex estimation process. The improved scheme introduces the Amplitude and Phase Estimation(APES) based parameter estimation procedure, and proposes a new scheme consisting of APES algorithm, Costas loop and Least Mean Square (LMS) adaptive filter. Compared with existing methods, the simulation results show that the proposed method can achieve mask signal separation successfully, and can achieve better separation performance.