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Zheng Si

2 accepted papers

2024

Application of SNNS Model Based On Multi-Dimensional Attention In Drone Radio Frequency Signal Classification

ICASSP 2024accepted

Spiking Neural Networks (SNNs) are attracting attention due to their energy efficiency and importance in neuromorphic computing. Therefore, we propose an SNN-based method for classifying drone RF signals in complex electromagnetic environments. Specifically, we designed a new SNNs model called Spiki…

Cited by 0SourceScholar
2023

A Method of Constructing and Automatically Labeling Radio Frequency Signal Training Dataset for UAV

ICASSP 2023accepted

The problem of signal detection and classification of multiple UAVs can be solved using object detection techniques in computer vision. However, this requires collecting and labeling a large amount of reliable raw data. Since the UAV signal dataset cannot be directly applied to object detection, we…

Cited by 0SourceScholar