The Denoising Method With Variational Mode Decomposition for Signal-Dependent Counting Noise in Molecular Communications

被引:0
|
作者
Wang, Chao [1 ]
Huang, Yu [1 ]
Tang, Dong [1 ]
Chen, Xuan [1 ]
Li, Jun [1 ]
Wen, Miaowen [2 ]
机构
[1] Guangzhou Univ, Res Ctr Intelligent Commun Engn, Sch Elect & Commun Engn, Guangzhou 510006, Peoples R China
[2] South China Univ Technol, Sch Elect & Informat Engn, Guangdong Prov Key Lab Short Range Wireless Detect, Guangzhou 510641, Peoples R China
基金
中国国家自然科学基金;
关键词
Noise; Noise reduction; Symbols; Receivers; Transmitters; Sensors; Signal to noise ratio; Counting noise; molecular communication (MC); noise reduction; signal detection; variational mode decomposition (VMD);
D O I
10.1109/JSEN.2024.3415380
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Molecular communication (MC) is considered to be one of the most feasible communication paradigms for constructing nanoscale networks within the human body, where chemical signals play significant roles. Compared with the traditional wireless communication method with electromagnetic signals, the mechanism of MC is credited to its biocompatibility. However, signal-dependent counting noise, as a type of nonstationary noise, greatly affects the detection performance of MC signals. To counteract its effect in the MC systems, we deploy the variational mode decomposition (VMD) method to recover the waveform of the original MC signals. To optimize the denoising performance, the root mean squared error (RMSE) and signal-to-noise ratio (SNR) are used as the metrics for comparison. Finally, numerical results demonstrate the effectiveness of the VMD method for MC signals under various modulation orders, achieving significant noise reduction compared with other classical methods.
引用
收藏
页码:24337 / 24343
页数:7
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