摘要
太赫兹系统在高速通信、安检成像、生物医学诊断和物质识别等领域具有重要应用价值。针对系统性能受多通道间k值和b值差异影响的问题,提出了一种分层校准算法。通过冷热源法实现出厂前的k值相对校准,并开发了适用于复杂环境的多通道自适应b值实时校准算法。实验验证表明,该分层校准算法能有效提升校准精度,显著降低多通道差异,为太赫兹系统的实际应用提供了可靠的技术保障。
Terahertz systems hold significant application value in fields such as high-speed communication,security imaging,biomedical diagnosis,and material identification.To address the issue of system performance being affected by differences in kvalue and b-value among multiple channels,a hierarchical calibration algorithm is proposed.The k-value relative calibration is achieved using a cold and hot source method before shipment,and a multi-channel adaptive b-value real-time calibration algorithm suitable for complex environments is developed.Experimental verification shows that this hierarchical calibration algorithm can effectively improve calibration accuracy,significantly reduce multi-channel differences,and provide reliable technical support for the practical application of Terahertz systems.
作者
卜伟华
BU Weihua(Brainware Terahertz Information Technology Co.,Ltd.,Hefei,Anhui 230000,China)
出处
《自动化应用》
2025年第16期100-102,共3页
Automation Application
关键词
太赫兹
k值
B值
实时校准
Terahertz
k-value
b-value
real-time
calibration
