Research on Multi-Channel Blind Electromagnetic Radiation Field Separation Method

LIU Sheng; WANG Bang-min; ZHANG Lan-yong

doi:10.12263/DZXB.20201131

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Research on Multi-Channel Blind Electromagnetic Radiation Field Separation Method

PAPERS | 更新时间：2025-12-11

- Research on Multi-Channel Blind Electromagnetic Radiation Field Separation Method
- ACTA ELECTRONICA SINICA Vol. 50, Issue 3, Pages: 557-566(2022)
- 作者机构：
  
  哈尔滨工程大学智能科学与工程学院，黑龙江哈尔滨 150001
- 作者简介：
- 基金信息：
- DOI：10.12263/DZXB.20201131
  CLC： TN97
- Received：13 October 2020，
  
  Revised：2021-12-26，
  
  Published：25 March 2022
- 稿件说明：
移动端阅览
刘胜,王帮民,张兰勇.多通道盲电磁辐射现场分离方法研究[J].电子学报,2022,50(03):557-566.

LIU Sheng,WANG Bang-min,ZHANG Lan-yong.Research on Multi-Channel Blind Electromagnetic Radiation Field Separation Method[J].ACTA ELECTRONICA SINICA,2022,50(03):557-566.
刘胜,王帮民,张兰勇.多通道盲电磁辐射现场分离方法研究[J].电子学报,2022,50(03):557-566. DOI： 10.12263/DZXB.20201131.

LIU Sheng,WANG Bang-min,ZHANG Lan-yong.Research on Multi-Channel Blind Electromagnetic Radiation Field Separation Method[J].ACTA ELECTRONICA SINICA,2022,50(03):557-566. DOI： 10.12263/DZXB.20201131.

摘要

针对船舶系统在复杂电磁环境下设备电磁辐射的多通道欠定盲源分离问题，提出了一种基于小波分解（Wavelet Decomposition， WD）、相关性筛选以及独立成分分析（Independent Component Analysis，ICA）的多通道盲电磁辐射现场同步分离方法（Wavelet Independent Component Analysis，WICA）.该方法采用小波分解，构造出虚拟通道，然后通过相关性筛选有效分量，最终利用ICA得到设备电磁辐射源信号.此方法不仅解决了欠定盲源分离问题，而且通过相关性筛选提高了ICA的有效性.本文以互相关系数（Cross Correlation Coefficient， CRC）和相干性（coherence）作为实船试验数据的度量指标，通过与（Ensemble Empirical Mode Decomposition-Independent Component Analysis， EEMD-ICA）算法和常规ICA算法的比较，验证了WICA算法在实际应用中的有效性.此方法可推广至航天、国防领域等系统级平台复杂电磁环境的现场测试，具有较高的实用价值.

Abstract

Aiming at the problem of multi-channel undetermined blind source separation of electromagnetic radiation from ship equipment in complex electromagnetic environment

a method wavelet independent component analysis(WICA) of multi-channel blind electromagnetic radiation field synchronous separation based on wavelet decomposition(WD)

correlation screening and independent component analysis(ICA) is proposed. In this method

wavelet decomposition is used to construct a virtual channel

then effective components are screened through correlation

and finally ICA is used to obtain the electromagnetic radiation source signal of the equipment. In this paper

the cross correlation coefficient(CRC) and coherence are used as measurement indexes of real ship test data

and the effectiveness of WICA algorithm in practical application is verified by comparing ensemble empirical mode decomposition-independent component analysis(EEMD-ICA) algorithm. This method can be extended to the field test of complex electromagnetic environment of system-level platforms in the fields of aerospace and national defense

and has high practical value.

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references

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