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基于残差自编码器的电磁频谱地图构建方法 被引量:1

Electromagnetic Spectrum Map Construction Method Based on Residual Autoencoder
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摘要 频谱地图是一种表征区域内功率谱密度(Power Spectral Density, PSD)空间分布的可视化方法,在实现频谱资源空间复用等方面具有重要作用。针对实际复杂场景下频谱地图构建精度低的问题,提出了一种基于残差自编码器的频谱地图构建方法,通过添加残差连接使编码器的信息可以直接映射到解码器相应部分,以提高频谱地图构建中的网络收敛性能并降低误差。仿真实验结果表明,所提出的方法相比于基于传统插值方法和自编码器模型具有更好的性能,在0.01采样率下其构建误差降低了9.7%。 Spectrum map is a visualization method to characterize the spatial distribution of Power Spectral Density(PSD)in a region,and plays an important role in spatial reuse of spectrum resources.To solve the problem of low accuracy of spectrum map construc-tion in actual complex scenes,a spectrum map construction method based on residual autoencoder is proposed.By adding residual connec-tions,the information of the encoder can be directly mapped to the corresponding part of the decoder,so as to improve network convergence performance and reduce the error in spectrum map construction.Simulation results show that the proposed method has better performance than the traditional interpolation method and autoencoder model.And its construction error is reduced by 9.7%at 0.01 sampling rate.
作者 张晗 韩宇 姜航 付江志 林云 ZHANG Han;HAN Yu;JIANG Hang;FU Jiangzhi;LIN Yun(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)
出处 《无线电通信技术》 2023年第2期255-261,共7页 Radio Communications Technology
基金 国家自然科学基金(61771154)。
关键词 频谱地图 残差自编码器 深度学习 spectrum map residual autoencoder deep learning
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