Noise Frequency Modulation Interference Suppression and Interest Signal Separation

Multi-component signal separation under strong interference has been a concern. This study aimed to investigate an effective signal separation algorithm. Interference suppression is first performed using the logarithmic cancellation method. The successive variational mode decomposition algorithm was designed and constructed, which is derived from Variational Mode Decomposition and can be regarded as an optimized Variational Mode Decomposition. Numerical simulation results show that performing multi-component signal separation with the successive variational mode decomposition method after logarithmic cancellation has superior performance.

Authors

Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1109/icbase66587.2025.11181268
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Noise Frequency Modulation Interference Suppression and Interest Signal Separation

Bin Zhou, Chuanzhi Wang, J.W. Liao, Guang Yang et al.
Blind Source Separation Techniques
article

Noise Frequency Modulation Interference Suppression and Interest Signal Separation

Bin Zhou, Chuanzhi Wang, J.W. Liao, Guang Yang, Yongxu Liu
article en

Abstract

Multi-component signal separation under strong interference has been a concern. This study aimed to investigate an effective signal separation algorithm. Interference suppression is first performed using the logarithmic cancellation method. The successive variational mode decomposition algorithm was designed and constructed, which is derived from Variational Mode Decomposition and can be regarded as an optimized Variational Mode Decomposition. Numerical simulation results show that performing multi-component signal separation with the successive variational mode decomposition method after logarithmic cancellation has superior performance.

Openalex Percentile: Top 66%
Blind Source Separation Techniques
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.