A portable radar individual identification method based on neural architecture search and feature combination
The electromagnetic environment is becoming increasingly complex,and the radar radiation source system is becoming more diverse.The individual identification task of radiation sources facing modern elec-tronic countermeasures is full of severe challenges,especially for portable radar targets.The performance of indi-vidual identification models will significantly decline with changes in environment,parameters,modulation meth-ods,and other factors.In response to the above issues,an individual identification method based on neural archi-tecture search and feature combination is proposed.By using neural architecture search to adaptively construct a deep neural network model,the combination between the original signal and different features is structurally ad-justed to improve the model's performance when confronted with portable radar signals.
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