RESEARCH ON ANTI JAMMING TECHNOLOGY OF MULTI SOURCE SIGNAL SEPARATION BASED ON RECIPROCAL DECOMPOSITION

Lutao Si, Bowen Cai, Kaiyue Hou, Xinliang Chen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Blind source separation (BSS) is a process of separating and recovering a relatively independent target source signal from the observed multi-source mixed signal including interference and target. BSS uses the difference between the target echo signal and the interference signal to separate the echo signal from the interference signal, which can suppress the influence of the interference signal on the target echo, and can also extract the interference signal from the mixed signal. We can take more effective anti-interference measures by analyzing interference signals. In this paper, the blind source separation (BSS) method based on reciprocal decomposition is used to transform the mixed matrix and unmixing matrix estimation problem into the space-time parameter estimation problem of multi-source signals. Through the adaptive estimation of the space-time parameters of the source signal, the steering vector and its dual vector corresponding to the direction of the incoming wave are obtained, and the unmixing matrix is directly constructed to realize the effective decomposition of the signal.

Original languageEnglish
Title of host publicationIET Conference Proceedings
PublisherInstitution of Engineering and Technology
Pages760-764
Number of pages5
Volume2020
Edition9
ISBN (Electronic)9781839535406
DOIs
Publication statusPublished - 2020
Event5th IET International Radar Conference, IET IRC 2020 - Virtual, Online
Duration: 4 Nov 20206 Nov 2020

Conference

Conference5th IET International Radar Conference, IET IRC 2020
CityVirtual, Online
Period4/11/206/11/20

Keywords

  • BLIND SOURCE SEPARATION
  • DUAL VECTOR
  • INTERFERENCE SUPPRESSION

Fingerprint

Dive into the research topics of 'RESEARCH ON ANTI JAMMING TECHNOLOGY OF MULTI SOURCE SIGNAL SEPARATION BASED ON RECIPROCAL DECOMPOSITION'. Together they form a unique fingerprint.

Cite this