A Review of Specific Emitter Identification Based on Domain Adaptation
The individual identification technology of radiation sources is playing an increasingly important role in military scenarios.In actual environments,the signals emitted by radiation source equipment are often affected by factors such as noise,leading to changes in the distribu-tion of signal characteristics.Due to the effective solution of domain adaptation methods to this problem,this article reviews the current devel-opment status of domain adaptation based radiation source individual identification technology in recent years.Firstly,provide an overview of domain adaptation methods and their classification,and introduce domain adaptation methods for different scenarios;Then introduce the rele-vant principles of domain adaptation methods and their applications in the field of individual identification of radiation sources;Next,collect publicly available datasets that can be used for individual identification research of radiation sources;Finally,based on the existing problems in individual identification of radiation sources,future development directions are proposed.
specific emitter identificationtransfer learningdomain adaptationmaximum mean discrepancyadversarial learning
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