GALS Methodology for Substrate Noise Reduction in BiCMOS technologies- GASEBO

系统中数字元件同时开关产生的噪声会造成各种不利影响，导致性能损失、集成问题和系统模块故障。最重要的挑战之一是影响复杂混合信号设计的衬底噪声。在GASEBO项目中，我们将研究在BiCMOS技术中实现的数字和混合模式系统中使用全局异步本地同步（GALS）方法的基板降噪的数学模型、方法、算法和架构。晶体管开关引起的衬底噪声的完整模型和GALS方法的降低将在理论水平和模拟中得到证实。此外，将使用实际混合信号应用作为设计案例在硅上进行验证。

Noise generated by simultaneous switching of digital components in a system causes various detrimental effects, leading to performance loss, integration problems and malfunction of the system blocks. One of the most important challenges is the substrate noise affecting complex mixed signal designs. In GASEBO project we will investigate the mathematical model, methodology, algorithms, and architectures for substrate noise reduction using the globally asynchronous locally synchronous (GALS) approach for digital- and mixed-mode- systems implemented in BiCMOS technologies. The complete substrate noise model caused by the transistor switching and GALS methodology for reduction will be confirmed on the theoretical level and in simulations. Additionally, the validation will be performed on silicon using the realistic mixed signal application as design case.