Comprehensive Stochastic Analysis Method for Tree-Type PDNs and Ground Pollution on Mixed-Signal PCBs

IF 1.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY
M. Mehri
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引用次数: 0

Abstract

- In this paper, a stochastic analysis method is proposed for extraction and evaluation of power distribution map (PDM) in system printed circuit board (PCB). This is conducted based on some high level data including placement and routing geometry, power distribution network (PDN), component package parasitic, and voltage regulator module (VRM). A simple model for supply current of two constituent blocks of electronic systems is analytically extracted. The worst-case simultaneous operation of all consumers are considered for PDM extraction. The approach is applied to a specific designed and fabricated mixed signal board. PDM is beneficial in the placement process of decoupling capacitance or noisy components in an optimum and right location. Also, the proposed approach can be considered as a verification step of PCB design flow and be applicable before routing only based on the placement data of components of the system. This enables the designer to predict the upcoming problems in layout and hastens the process of design verification.
树型多氯联苯与混合信号多氯联苯地面污染的综合随机分析方法
本文提出了一种用于系统印刷电路板(PCB)中功率分布图(PDM)提取和评估的随机分析方法。这是基于一些高级数据进行的,包括布局和路由几何、配电网络(PDN)、组件封装寄生和稳压模块(VRM)。给出了一个简单的电子系统供电电流的解析模型。在提取PDM时,考虑了所有消费者同时运行的最坏情况。将该方法应用于设计制作的混合信号板。PDM有利于去耦电容或噪声元件在最佳位置的放置。此外,所提出的方法可以被视为PCB设计流程的验证步骤,并且仅根据系统组件的放置数据在布线之前适用。这使设计师能够预测布局中即将出现的问题,并加快设计验证的过程。
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来源期刊
Scientia Iranica
Scientia Iranica 工程技术-工程:综合
CiteScore
2.90
自引率
7.10%
发文量
59
审稿时长
2 months
期刊介绍: The objectives of Scientia Iranica are two-fold. The first is to provide a forum for the presentation of original works by scientists and engineers from around the world. The second is to open an effective channel to enhance the level of communication between scientists and engineers and the exchange of state-of-the-art research and ideas. The scope of the journal is broad and multidisciplinary in technical sciences and engineering. It encompasses theoretical and experimental research. Specific areas include but not limited to chemistry, chemical engineering, civil engineering, control and computer engineering, electrical engineering, material, manufacturing and industrial management, mathematics, mechanical engineering, nuclear engineering, petroleum engineering, physics, nanotechnology.
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