Work

Blind signal separation based on widely linear complex autoregressive process of order one

Year: 2021

Type: article

Abstract: In this paper, the blind signal separation problem of complex baseband signal is addressed. A widely linear complex autoregressive process of order one is employed to represent the temporal structure of complex sources. We formulate a new contrast function by a convex combination of generalized autocorrelations and the statistics of the innovation. And the proposed contrast function is optimized by gradient method. Simulation results show that the proposed algorithm is better than the comparison algorithm in convergence speed and convergence accuracy.

Source: EURASIP Journal on Wireless Communications and Networking

DOI: 10.1186/s13638-021-01920-8

Authors: Jiong Li, Yuan Qin, Menglan Fan, Xiaogang Tang, Lijuan Gao, Long Chen, Junhao Feng

Institutions: Space Engineering University, PLA Army Engineering University, Chinese People's Liberation Army

Language: English

Topic: Blind Source Separation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,665

OpenAlex ID: W3134565621

FWCI: 0.113

Cites: 24

Cited by: 2

Related to: 10