Work

Cyclostationary-based BSS method for time-frequency overlapped BPSK signals in electromagnetic surveillance

Year: 2020

Type: conference-paper

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.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/1486/7/072077

Authors: Lihui Pang, Xianrong Deng, Liling Pang, Xinlin Wang

Institution: University of South China

Language: English

Topic: Blind Source Separation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: National Natural Science Foundation of China

Awards: 基于卷积神经网络的图像融合及质量提升理论研究, G7091989239