CCF: Small: Learning Assisted Induced Noise and Error Tolerant Digital and Analog Filters Using Reduced-Distance Codes

随着器件集成度的提高，以及深纳米特征尺寸晶体管的使用，用于将电子电路中的“想要的”信号与“不想要的”信号隔离的模拟、开关电容和数字滤波器已变得越来越容易受到大量电路运行引起的噪声的影响。这种噪声导致信号质量的降低和终端应用(无线通信、感测等)的服务质量(Qos)的损失。解决噪音问题的一种方法是设计一种类似于流行的降噪耳机所使用的降噪方案。由于片上噪声源的未知性质，这种技术很难在片上实现。为了解决这个问题，我们在滤波器实现中引入了有限的冗余，允许滤波器检查内部电路节点上的信号(注入噪声)是否与输入到滤波器的信号不一致，并补偿它们对滤波器操作的影响。只要将注入的噪声定位在滤波器的子区域内，就可以实现近乎完美的噪声/误差消除，而不管噪声源和噪声耦合到所涉及的滤波器的方式。随着对高速无线通信技术的需求的增长，将强烈需要开发研究和教育计划，以培养能够服务于工业中的相关系统设计、产量管理和现场维护问题的人员。参与该项目的学生将参加行业暑期实习计划，并参与实际行业的测试案例。这将促进向工业的技术转移，也将挑战学术研究人员和学生解决实际技术转移问题，这些问题最终导致所开发技术的商业化，从而影响经济和社会。该项目的技术细节涉及模拟、开关电容和数字滤波器的设计，这些滤波器对电源/地反弹和串扰等电气故障引起的噪声/误差具有弹性。一个关键的目标是开发一种设计方法，在对面积和功耗的影响最小的情况下，提供对噪声引起的错误的最大弹性。该项目将产生一个芯片设计，用于概念验证和基本弹性概念的验证。该方法基于线性和线性化-非线性模拟、开关电容和数字滤波器的状态转换矩阵的基于校验和的编码原理。当噪声被注入到过滤器的特定节点中时，可以使用过滤器编码来生成注入噪声的反相版本。通过将后者馈入受影响的电路状态，可以实现完美或接近完美的噪声/误差消除。这种方法的一个主要优点是，只要噪声/误差注入的影响局限于一个或几个系统状态，它就与噪声/误差的来源无关。

With increased levels of device integration accompanied by use of transistors with deep-nanometer feature sizes, analog, switched-capacitor and digital filters that are used for isolating "wanted" signals in electronic circuits from "unwanted" ones, have become increasingly susceptible to noise induced by the operation of vast amounts of circuitry. Such noise leads to degradation of signal quality and loss of Quality of Service (QoS) of the end application (wireless communication, sensing, etc). One way to address the noise issue is to devise a noise-cancellation scheme similar to that used in popular noise-canceling headphones. Such techniques are difficult to implement on-chip due to the unknown nature of on-chip noise sources. To solve this problem, we introduce limited redundancy into the filter implementation, that allows the filter to check for signals (injected noise) at internal circuit nodes that are inconsistent with the input signals to the filter and compensate for their effects on filter operation. As long as the injected noise is localized within sub-regions of the filter, near-perfect noise/error cancellation is achieved regardless of the source of the noise and the manner in which it couples to the filter involved.As the demand for high speed wireless communications technology grows, there will be a strong need to develop research and education programs that produce personnel that can service the relevant system design, yield management and field maintenance problems in industry. Students working on this project will participate in summer internship programs with industry and work on real industry test cases. This will facilitate technology transfer to industry and will also challenge the academic researchers and students to address practical technology transfer issues that eventually lead to commercialization of the technology developed, thus impacting economy and society.Technical details of the project involve design of analog, switched-capacitor and digital filters that are resilient to noise/errors induced by electrical bugs such as due to power/ground bounce and crosstalk. A key goal is to develop a design methodology that provides maximum resilience to noise induced errors with the least impact on area and power consumption. The project will result in a chip design for proof-of-concept and validation of the fundamental resilience concepts. The approach is based on the principle of checksum based encodings of the state transformation matrices of linear as well as linearized-nonlinear analog, switched-capacitor and digital filters. When noise is injected into a specific node of the filter, the filter encoding can be used to generate a phase-inverted version of the injected noise. By feeding the latter into the affected circuit state, perfect or near-perfect noise/error cancellation can be achieved. A key benefit of this approach is that it is independent of the source of the noise/error as long as the effect of the noise/error injection is localized to one or a few system states.