Data Structures and Algorithms


A New Optimization of Noise Transfer Function of Sigma-delta-modulator with Supposition Loop Filter Stability

Authors: Saman Kaedi, Ebrahim Farshidii

In this paper a discrete time sigma-delta ADC with new assumptions in optimization of noise transfer function (NTF) is presented, that improve SNR and accuracy of ADC. Zeros and poles of sigma-delta’s loop filter is optimized and located by genetic algorithm with assumption loop filter stability and final quantization noise density of modulator will be significantly decrease. Supposition density of quantization noise as default of optimization result without need to additional circuit or filter, the folded noise in pass band due to down sampling, has been minimized so SNR will be more increase. The circuit is designed and implemented using MATLAB. The simulator result of sigma-delta ADC demonstrates this methodology has 7db (equivalent more than 1bit) improvement in SNR.

Comments: 15 Pages.

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Submission history

[v1] 2014-05-06 23:35:59

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