采用Hilbert谱相关性的特定辐射源识别技术

摘要 在点对点场景下,提出了一种基于Hilbert谱的特定辐射源识别(SEI)算法. 该算法采用Hilbert谱相关性作为识别特征对辐射源进行分类. 进而研究中继场景中的识别问题,在此场景下,源辐射源的指纹特征将叠加中继的指纹特征,所提算法有效地推广至该场景并论证. 此外,还验证了算法在非高斯噪声、衰落等非理想信道条件下的识别性能. 仿真结果表明:该算法在点对点和中继场景下均具有良好的识别性能,在非理想的信道条件下具有较好的健壮性.
A Hilbert spectrum-based approach to specific emitter identification(SEI)was proposed in single-hop and relaying scenarios. The correlation coefficient measuring the similarity between Hilbert spectrums was employed as the identification feature. An identification problem was also in-depth explored for a relaying scenario, in which the fingerprint of different emitters can be impaired by the relay's fingerprints under non-ideal conditions, such as non-Gaussian noise and flat-fading channels. Extensive simulation demonstrates that the proposed approach can achieve a good identification performance in both single-hop and relaying scenarios, and shows robust against non-ideal channel conditions as well.