High-Level Design of General Multi-Stage Noise Band Cancellation Delta Sigma ADC optimized for Nonlinearly Distorted Signals

Abstract :

This article presents the high-level synthesis of general multi-stage noise band cancellation (MSNBC) Σ∆ analog-to-digital converters (ADC). The MSNBC architecture allows to extend the conversion bandwidth of a primary modulator and to provide high resolution conversion. Moreover, this architecture should offer a low power consumption. This type of ADC is very use- ful for wideband and high resolution application such as the digitization of data for the linearization of base sta- tion (BTS) power amplifiers. This article introduces the MSNBC architecture and provides a methodology for the high-level design of such ADC for both discrete-time and continuous-time implementation. The methodology allows the design of stable and high resolution modu- lators and, allows the direct synthesis of digital filters used for noise cancellation. This methodology is fast and very useful to design high performance MSNBC Σ∆ ADC.

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Journal articles
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https://hal.telecom-paristech.fr/hal-02286754
Contributor : Telecomparis Hal <>
Submitted on : Friday, September 13, 2019 - 4:08:45 PM
Last modification on : Thursday, October 17, 2019 - 12:36:59 PM

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Dang-Kièn Germain Pham, Patricia Desgreys, P. Loumeau, Tim Ridgers, Guillaume Monnerie. High-Level Design of General Multi-Stage Noise Band Cancellation Delta Sigma ADC optimized for Nonlinearly Distorted Signals. Analog Integrated Circuits and Signal Processing (AICSP), 2013, 77 (2), pp.235-245. ⟨10.1007/s10470-013-0148-1 ⟩. ⟨hal-02286754⟩

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