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Design and analysis of search algorithms for lower power consumption and faster convergence of DAC input of SAR-ADC in 65nm CMOS

机译:65nm CMOS中SAR-ADC DAC输入较低功耗和更快收敛的搜索算法的设计与分析

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We propose a new approach in reducing the power consumption of the Successive approximation register Analog to Digital Converter (SAR-ADC) by changing the convergence algorithm of the Digital to Analog converter (DAC) input of the SAR-ADC. Different search algorithms such as binary search tree, moving binary search tree (BST), least significant bit shifter (LSB), adaptive algorithm and split-register moving BST algorithm are designed and analyzed for faster convergence of the DAC input. In this paper, we design a 0.8 GS/s, 8 bit (Effective number of bits (ENOB) - 7.42), 8.352 mW SAR ADC with a proposed moving BST algorithm in 65nm CMOS which ranks amongst the current state of the art ADCs with a FOM 65.25fJ/step.
机译:我们提出了一种通过改变SAR-ADC的数字到模拟转换器(DAC)输入的收敛算法来降低连续近似寄存器模数与数字转换器(SAR-ADC)的功耗的新方法。设计和分析了不同的搜索算法,如二进制搜索树,移动二进制搜索树(BST),最低有效位移位器(LSB),自适应算法和分离寄存器移动BST算法,以便更快地收敛DAC输入。在本文中,我们设计了0.8GS / s,8位(有效数量的位数(ENOB) - 7.42),8.352 MW SAR ADC,具有在65nm CMOS中的提出的移动BST算法,其在最新的ADC的当前状态中排名FOM 65.25FJ /步骤。

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