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Investigation of 1/f noise Spectral Suppres- sion in Incremental Delta-Sigma ADCs using Fractal Chopping Sequences [bt]

Ulm University

Tutor: Omar Ismail, Stichworte: Incremental Delta Sigma, 1/f noise suppression, Fractal chopping

Incremental Delta-Sigma A/D converters (I-ADCs) employ the concepts of oversampling and noise-shaping that exist in Free-running (FR) Delta-Sigma A/D converters (DS-ADCs) to achieve high resolutions. Additionally, they are periodically reset, thereby achieving Nyquist-rate operation. Therefore (I-ADCs) are employed in sensor and imager applications demanding single-shot or multiplexed conversion. I-ADCs consist of an analog loopfilter (I-DSM) and a digital reconstruction filter Hrec(Z).

Offset and 1/f noise are a challenge in I-ADCs, especially for narrow-band applications. Chopper stabilization technique, used in FR DS-ADCs to suppress offset, is not effective in higher order I-ADCs [1].  Therefore, fractal chopping sequences were introduced in [1] as an effective offset cancellation solution.

The impact of fractal chopping on 1/f noise is yet to be investigated. Thereby the goal of the presented project is to understand the spectral suppression of 1/f noise using ifferent fractal chopping sequences. The spectral suppression is to be investigated for different I-DSM orders and Hrec(z) orders. The study will be done on a system-level using MATLAB and Simulink.

What we expect: Knowledge of MATLAB and Simulink; organized and well documented research and dedication to successful work.

Investigation of 1/f noise Spectral Suppres- sion in Incremental Delta-Sigma ADCs using Fractal Chopping Sequences