基于变分模态分解和定向梯度直方图的特定发射器识别

Shaoying Guo, Yanyun Xu, Wei-qing Huang, Bo Liu
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引用次数: 1

摘要

特定发射器识别(SEI)是一种基于物理层的增强无线通信网络安全性的方法。良好的SEI方法可以广泛应用于识别单个无线通信设备。本文提出了一种基于变分模态分解和定向梯度直方图(VMD-HOG)的特定发射器识别方法。通过VMD将信号分解为特定的时间模态,从时间模态的时频谱中得到HOG特征。对该方法在单跳和中继场景下的性能以及在三信道下发射机数量变化的情况下的性能进行了评估。结果表明,该方法对Zigbee设备的仿真信号和真实数据都具有良好的识别性能,并且在识别精度和计算复杂度方面优于现有的两种方法。
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Specific Emitter Identification via Variational Mode Decomposition and Histogram of Oriented Gradient
Specific emitter identification (SEI) is a physical-layer-based approach for enhancing wireless communication network security. A well-done SEI method can be widely applied in identifying the individual wireless communication device. In this paper, we propose a novel specific emitter identification method based on variational mode decomposition and histogram of oriented gradient (VMD-HOG). The signal is decomposed into specific temporal modes via VMD and HOG features are obtained from the time-frequency spectrum of temporal modes. The performance of the proposed method is evaluated both in single hop and relaying scenarios and under three channels with the number of emitters varying. Results depict that our proposed method provides great identification performance for both simulated signals and realistic data of Zigbee devices and outperforms the two existing methods in identification accuracy and computational complexity.
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