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Oulun yliopiston väitöskirjat
Terveyttä ruoasta! -materiaalit
Oulun yliopiston väitöskirjat
CHARACTERIZING AND MINIMIZING SPURIOUS RESPONSES IN DELTA-SIGMA MODULATORS, ACTA UNIVERSITATIS OULUENSIS C Technica 414
ISBN-13:
978-951-42-9748-9
Kieli:
englanti
Kustantaja:
Oulun yliopisto
Oppiaine:
Tekniikka, matematiikka
Painosvuosi:
2011
Sidosasu:
pehmeäkantinen
Sijainti:
Print Tietotalo
Sivumäärä:
142
Tekijät:
NEITOLA MARKO
20.00 €
Oversampling data converters based on Delta-Sigma modulation are a popular solution formodern high-resolution applications. In the design of digital-to-analog or analog-to-digital Delta-sigma converters there are common obstacles due to the difficulties on predicting and verifyingtheir performance. Being a highly nonlinear system, a Delta-Sigma modulator’s (DSM)quantization noise and therefore the spurious tones are difficult to analyze and predict. Multi-bit DACs can be used to improve the performance and linearize the behavior of DSMs.However, this will give rise to the need for linearizing the multi-bit DAC. A popular DAClinearization method, data weighted averaging (DWA) shapes the DAC mismatch noise spectrum.There are many variants of DWA, for low-pass and band-pass DSMs. This thesis proposes ageneralization which integrates a few published variants into one, broader DWA scheme. Thegeneralization enables expanding the tone-suppression studies into a larger concept. The performance of one- or multibit DSMs is usually verified by simulations. This thesisproposes a simulation-based qualification (characterization) method that can be used to repeatedlyverify and compare the performance of multibit DSM with a DAC mismatch shaping orscrambling scheme. The last contribution of this thesis is a very simple model for tonal behavior. The model enablesaccurate prediction of spurious tones from both DSMs and DWA-DACs. The model emulates thetone behavior by its true birth-mechanism: frequency modulation. The proposed prediction modelfor tone-behavior can be used for developing new tone-cancelation methods. Based on the model,a DWA linearization method is also proposed.
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