【摘要】 阐述针对总线谐振式测温系统高精度与低资源消耗的协同优化难题，提出基于两级协同检测架构的总线谐振式测温系统设计。通过建立粗-精检测级联机制，融合CFAR辅助的FFT频段筛选与相位补偿型并行Goertzel算法，构建兼顾检测精度与运算效率的混合处理架构。实验表明，系统在等效实现传统FFT算法0.1℃的测温精度情况下，片内资源消耗显著降低，为高密度多点无源单线式总线测温网络提供了高性价比的实时监测解决方案。更多还原

【Abstract】 This paper describes a two-level cooperative detection architecture, to address the challenge of balancing high precision and low resource consumption in resonant temperature measurement systems. By establishing a coarse-fine detection cascade mechanism, the system combines CFAR-assisted FFT frequency band screening with a phase-compensated parallel Goertzel algorithm. This hybrid approach achieves a balance between detection accuracy and computational efficiency. Experimental results demonstrate that while achieving an equivalent temperature measurement accuracy of 0.1°C as the conventional FFT algorithm, the proposed system significantly reduces on-chip resource consumption. This improvement offers a cost-effective real-time monitoring solution for high-density, multi-point passive single-wire bus temperature sensing networks.更多还原