Cyclostationary-based BSS method for time-frequency overlapped BPSK signals in electromagnetic surveillance. Issue 7 (April 2020)

• Record Type: Journal Article
• Authors: Pang, Lihui; Deng, Xianrong; Pang, Liling; Wang, Xinlin
• Is Part Of: Journal of physics. Volume 1486:Issue 7(2020)
• Publication Date: 2020-04
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1486/7/072077
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: A cyclostationary-based blind signal separation (BSS) algorithm is proposed in this paper. The proposed separation algorithm is used for simultaneously received multiple spectrum overlapped BPSK signals in single channel electromagnetic surveillance system. The mixed signal is separated by means of blind adaptive frequency shift (BA-FRESH) filter based on the independent signals' cyclostationary. This BA-FRESH filtering technique does not require training signals. It can separate the independent signals only by knowing some of their cycle frequencies, which is gained by the second order cycle cumulants in this work. Numerical simulation results proved the effectiveness of this separation method.