SEMICONDUCTOR INTEGRATED CIRCUITS

Analysis and optimization of current sensing circuit for deep sub-micron SRAM

Wang Yiqi, Zhao Fazhan, Liu Mengxin, Lü Yinxue, Zhao Bohua and Han Zhensheng

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Abstract: A quantitative yield analysis of a traditional current sensing circuit considering the random dopant fluctuation effect is presented. It investigates the impact of transistor size, falling time of control signal CS and threshold voltage of critical transistors on failure probability of current sensing circuit. On this basis, we present a final optimization to improve the reliability of current sense amplifier. Under 90 nm process, simulation shows that failure probability of current sensing circuit can be reduced by 80% after optimization compared with the normal situation and the delay time only increases marginally.

Key words: current sensingmismatchyield and speed optimization

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    Received: 20 August 2015 Revised: 20 June 2011 Online: Published: 01 November 2011

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      Wang Yiqi, Zhao Fazhan, Liu Mengxin, Lü Yinxue, Zhao Bohua, Han Zhensheng. Analysis and optimization of current sensing circuit for deep sub-micron SRAM[J]. Journal of Semiconductors, 2011, 32(11): 115016. doi: 10.1088/1674-4926/32/11/115016 Wang Y Q, Zhao F Z, Liu M X, Lü Y, Zhao B H, Han Z S. Analysis and optimization of current sensing circuit for deep sub-micron SRAM[J]. J. Semicond., 2011, 32(11): 115016. doi: 10.1088/1674-4926/32/11/115016.Export: BibTex EndNote
      Citation:
      Wang Yiqi, Zhao Fazhan, Liu Mengxin, Lü Yinxue, Zhao Bohua, Han Zhensheng. Analysis and optimization of current sensing circuit for deep sub-micron SRAM[J]. Journal of Semiconductors, 2011, 32(11): 115016. doi: 10.1088/1674-4926/32/11/115016

      Wang Y Q, Zhao F Z, Liu M X, Lü Y, Zhao B H, Han Z S. Analysis and optimization of current sensing circuit for deep sub-micron SRAM[J]. J. Semicond., 2011, 32(11): 115016. doi: 10.1088/1674-4926/32/11/115016.
      Export: BibTex EndNote

      Analysis and optimization of current sensing circuit for deep sub-micron SRAM

      doi: 10.1088/1674-4926/32/11/115016
      Funds:

      The National Basic Research Program of China (973 Program)

      • Received Date: 2015-08-20
      • Accepted Date: 2011-05-11
      • Revised Date: 2011-06-20
      • Published Date: 2011-10-20

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