Separation of Jamming and Useful Signals Using Blind Source Separation and Bussgang Technique

This paper presents a new algorithm applied to compensate for the influence of jamming in data transmission. A new metric of system optimization has been adopted from the blind equalization criterion previously proposed by the author. The algorithm is used for blind signal source separation and signal detection. Thus, extraction of a useful signal can be performed from the mixture of useful and jamming signals. Selected simulation results are presented showing the performance of the proposed receiver in the MIMO system.

Authors

Institutions

Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757599
Citations
1
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Separation of Jamming and Useful Signals Using Blind Source Separation and Bussgang Technique

Krzysztof Wesołowski
1 citations
Blind Source Separation Techniques
0.35
article

Separation of Jamming and Useful Signals Using Blind Source Separation and Bussgang Technique

Krzysztof Wesołowski
article en
1 citations

Abstract

This paper presents a new algorithm applied to compensate for the influence of jamming in data transmission. A new metric of system optimization has been adopted from the blind equalization criterion previously proposed by the author. The algorithm is used for blind signal source separation and signal detection. Thus, extraction of a useful signal can be performed from the mixture of useful and jamming signals. Selected simulation results are presented showing the performance of the proposed receiver in the MIMO system.

Poznań University of Technology (PL)
Openalex Percentile: Top 39%
Blind Source Separation Techniques
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.