Open AccessBased on multi-antenna multi-channel wireless signal separation
Author(s) -
Zhao Yong-ji,
Wenwen Hu,
Kuilin Chen
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 - 10.1088/1742-6596/1738/1/012038
Subject(s) - fastica , independent component analysis , computer science , antenna (radio) , signal (programming language) , wireless , blind signal separation , channel (broadcasting) , algorithm , electronic engineering , telecommunications , artificial intelligence , engineering , programming language
Wireless signal separation under the condition of multi-antenna and multi-channel reception is a process of estimating the source signal component by using the observed signal vector. Under the condition of multi-antenna and multi-channel reception of wireless mixed signals, in view of the problem that the stability of FastICA algorithm will be affected, it is proposed to increase the number of iterations to improve the FastICA algorithm. The experimental comparison and simulation results of FastICA algorithm and FastICA improved algorithm It shows that for the separation of wireless mixed signals, the improved FastICA algorithm can achieve a better separation effect.