Design of Noise Transfer Function for Delta Sigma Modulator based on Modified Jacobi Polynomial Approximations

2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)(2023)

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摘要
This paper presents the design of Noise Transfer Function (NTF) for Delta Sigma Modulator (DSM) based on continuous time high pass filter approximated by modified Jacobi polynomial. $\boldsymbol{\upalpha}, \boldsymbol{\upbeta}$ are the orders of the Jacobian polynomial. Different combination of $\boldsymbol{\upalpha}, \boldsymbol{\upbeta}$ results in different NTFs. The objective of this work is to determine the $\upalpha, \upbeta$ values for which the optimum attenuation characteristic is achieved in the stopband of the NTF while satisfying the realizability condition of the DSM. For the $\boldsymbol{5}^{\mathbf{th}}$ order DSM with an Oversampling Ratio (OSR) of 32 and $\gamma$ of 1.5 an SQNR of 69.9 dB is achieved which is an improvement of 5.15 dB compared to the Delta Sigma Toolbox (DST) method.
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关键词
Noise Transfer Function,Optimization,Modified Jacobi Polynomial Functions,Delta Sigma Modulator
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