• DocumentCode
    626535
  • Title

    A continuous-time VCO-assisted VCO-based ΣΔ modulator with 76.6dB SNDR and 10MHz BW

  • Author

    Yun Du ; Tao He ; Yang Jiang ; Sai-Weng Sin ; Seng-Pan U ; Martins, Rui P.

  • Author_Institution
    State-Key Lab. of Analog & Mixed Signal VLSI, Univ. of Macau, Macao, China
  • fYear
    2013
  • fDate
    19-23 May 2013
  • Firstpage
    373
  • Lastpage
    376
  • Abstract
    In this paper, a new VCO-assisted VCO-based sigma-delta (ΣΔ) modulator is proposed to improve the linearity of the VCO-based quantizer. The assistant network in the digital feedforward path reduces the input swing of the VCO-based quantizer in the main path, and then adds it together through the digital cancellation path to keep the same signal before and after quantization. Moreover, the merit of the auxiliary VCO increases the tolerance to DAC mismatches because of its intrinsic DEM function, which also simplifies the digital circuit part. A first order continuous-time (CT) ΣΔ modulator with the proposed structure is designed and simulated in a 65nm CMOS process. The performance of the modulator can reach 76.6dB/82.4dB SNDR/SNR with second order noise shaping and 84dB DR within a 10MHz bandwidth and a sampling frequency of 1.4GHz, consuming 9.4mW of power.
  • Keywords
    digital-analogue conversion; feedforward; sigma-delta modulation; voltage-controlled oscillators; CMOS process; DAC; SNDR; VCO-assisted VCO-based sigma-delta modulator; VCO-based quantizer; bandwidth 10 MHz; continuous-time VCO-assisted VCO-based ΣΔ modulator; digital cancellation path; digital circuit part; digital feedforward path; first order continuous-time ΣΔ modulator; frequency 1.4 GHz; gain 76.6 dB; gain 84 dB; intrinsic DEM function; power 9.4 mW; second order noise shaping; size 65 nm; Delays; Feedforward neural networks; Linearity; Modulation; Noise; Noise shaping; Voltage-controlled oscillators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
  • Conference_Location
    Beijing
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-5760-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2013.6571858
  • Filename
    6571858