单通道通信信号盲分离方法的研究进展综述

doi:10.11959/j.issn.1000-436x.2023138

摘要/Abstract

摘要：

单通道盲信号分离（SCBSS）技术相关理论与实践应用不断完善，SCBSS方法的研究取得了较大的进展。在分析国内外大量学术研究成果的基础上，基于通信信号盲信号分离（BSS）技术的应用逻辑提出了一种新的BSS技术分类框架。该框架依据不同应用场景对BSS系统输出结果的要求，将BSS问题划分为多信号波形分离、单信号波形分离、多信号符号序列分离以及单信号符号序列分离4个层次，并系统性地梳理了SCBSS技术的研究现状。同时，综述了现有基于数据驱动的SCBSS研究现状，并探究了基于数据驱动的SCBSS技术目前亟待解决的问题和解决思路。最后，对SCBSS的几个潜在研究方向进行了分析和展望，旨在为SCBSS的研究和应用提供参考。

关键词: 盲信号分离, 单通道, 信号处理, 数据驱动

Abstract:

Significant progress has been made in the research of single channel blind signal separation (SCBSS) methods, as the theoretical and practical applications of SCBSS technology have been continuously improved.A new classification framework for blind signal separation (BSS) of communication signal problems was proposed based on an analysis of a large number of academic research results from both domestic and international sources.The division of SCBSS problems into four levels: multi-signal waveform separation, single-signal waveform separation, multi-signal symbol sequence separation, and single-signal symbol sequence separation was determined by taking into consideration the demand for output results of BSS systems in different application scenarios.Subsequently, the research status of SCBSS methods was systematically reviewed.Furthermore, the current research status of data-driven SCBSS was summarized, and the problems and solutions that needed to be addressed in data-driven SCBSS technology were explored.Finally, several potential research directions for SCBSS were analyzed and forecasted.The aim is to provide a reference for the research and application of SCBSS.

Key words: blind signal separation, single channel, signal processing, data-driven

中图分类号:

TN92

邓文, 黄知涛, 王翔. 单通道通信信号盲分离方法的研究进展综述[J]. 通信学报, 2023, 44(8): 179-194.

Wen DENG, Zhitao HUANG, Xiang WANG. Overview of research progress on blind separation methods for single channel communication signal[J]. Journal on Communications, 2023, 44(8): 179-194.

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波形恢复质量	相关系数
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信息传递精度	解调误符号率
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