Design of delta-sigma modulators via generalized Kalman-Yakubovich-Popov lemma

被引:18
作者
Li, Xianwei [1 ]
Yu, Changbin [2 ,3 ]
Gao, Huijun [1 ,4 ]
机构
[1] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150080, Peoples R China
[2] Hangzhou Dianzi Univ, Hangzhou 310018, Peoples R China
[3] Australian Natl Univ, Res Sch Engn, Canberra, ACT 0200, Australia
[4] King Abdulaziz Univ, Jeddah 21413, Saudi Arabia
基金
中国国家自然科学基金; 澳大利亚研究理事会;
关键词
Delta-sigma (Delta Sigma) modulator; Noise transfer function (NTF); Infinite impulse response (IIR); Iterative algorithm; Generalized Kalman-Yakubovich-Popov (GKYP) lemma; OPTIMAL DYNAMIC QUANTIZERS; OPTIMIZATION; SYSTEMS;
D O I
10.1016/j.automatica.2014.09.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is concerned with the design of delta-sigma modulators via the generalized Kalman-Yakubovich-Popov lemma. The shaped noise transfer function (NTF) is assumed to have infinite impulse response, and the optimization objective is minimizing the maximum magnitude of the NTF over the signal frequency band. By virtue of the GKYP lemma, the optimization of an NTF is converted into a minimization problem subject to quadratic matrix inequalities, and then an iterative algorithm is proposed to solve this alternative minimization problem. Each iteration of the algorithm contains linear matrix inequality constraints only and can be effectively solved by the existing numerical software packages. Moreover, specifications on the NTF zeros are also integrated in the design method. A design example demonstrates that the proposed design method has an advantage over the benchmark one in improving the signal-to-noise ratio. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2700 / 2708
页数:9
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