Simultaneous SNR and SNR-variation optimization for sigma-delta modulator design

Author

Ailin Zhang ; Guoyong Shi ; Tan, Sheldon X.-D ; Jiandong Cheng

Author_Institution

Dept. of Micro/Nano-Electron., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2014

fDate

28-31 Oct. 2014

Firstpage

1

Lastpage

4

Abstract

Given a loop-filter topology, a switched-capacitor sigma-delta modulator (SC-SDM) can be optimized with respect to its loop transfer function (LTF) coefficients. However, if the goal is to co-optimize signal-to-noise ratio (SNR) and SNR-variation, fast computation of both measures becomes a critical issue. In this paper a simulated-annealing (SA) based algorithm is proposed which makes use of a recently proposed fast computation method for SNR and its variance. The SNR computation method is symbolic and the computation of variation is by sensitivity. Hence, every change of the LTF coefficients can be evaluated quickly to come up with new SNR and its variation. This paper has attempted different combinations of the optimization objectives by assigning different weights to the SNR and the SNR variation. The optimization results are compared.

Keywords

sigma-delta modulation; simulated annealing; switched capacitor networks; SNR; loop transfer function coefficients; loop-filter topology; sigma-delta modulator design; signal-to-noise ratio; simulated annealing; switched-capacitor sigma-delta modulator; Modulation; Schedules; Sigma-delta modulation; Signal to noise ratio; Switches; Topology; Coefficient optimization; simulated annealing (SA); switched-capacitor sigma-delta modulator (SC-SDM); symbolic SNR computation;

fLanguage

English

Publisher

ieee

Conference_Titel

Solid-State and Integrated Circuit Technology (ICSICT), 2014 12th IEEE International Conference on

Conference_Location

Guilin

Print_ISBN

978-1-4799-3296-2

Type

conf

DOI

10.1109/ICSICT.2014.7021293

Filename

7021293