CCF: Small: Learning Assisted Induced Noise and Error Tolerant Digital and Analog Filters Using Reduced-Distance Codes
CCF: Small: Learning Assisted Induced Noise and Error Tolerant Digital and Analog Filters Using Reduced-Distance Codes
批准号:
1421353
负责人:
Abhijit Chatterjee
金额:
$34.83万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-07-15 至 2018-06-30
中文摘要
随着器件集成度的提高,伴随着使用具有深纳米特征尺寸的晶体管,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、开关电容器和数字滤波器变得越来越容易受到由大量电路的操作引起的噪声的影响。这种噪声导致信号质量的劣化和终端应用(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中使用的降噪方案。由于片上噪声源的未知性质,这种技术难以在片上实现。为了解决这个问题,我们在滤波器实现中引入有限冗余,允许滤波器检查内部电路节点处与滤波器输入信号不一致的信号(注入噪声),并补偿其对滤波器操作的影响。只要注入的噪声被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,而不管噪声的来源以及噪声耦合到所涉及的滤波器的方式如何。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,以培养能够为相关系统设计服务的人员,产量管理和田间维护问题。从事该项目的学生将参加行业的暑期实习项目,并参与真实的行业测试案例。这将促进技术向产业转移,也将挑战学术研究人员和学生解决实际技术转让问题,最终导致所开发技术的商业化,从而影响经济和社会。开关电容器和数字滤波器,其对由诸如电源/接地反弹和串扰的电气故障引起的噪声/误差有弹性。一个关键的目标是开发一种设计方法,提供最大的弹性噪声引起的错误,对面积和功耗的影响最小。该项目将产生一个用于概念验证和基本弹性概念验证的芯片设计。该方法是基于校验和的线性以及线性非线性模拟,开关电容和数字滤波器的状态变换矩阵的编码的原则。当噪声被注入到滤波器的特定节点中时,滤波器编码可以用于生成所注入噪声的相位反转版本。通过将后者馈送到受影响的电路状态,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。
英文摘要
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.
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