The Improved-Iterative Support Detection Algorithm for Pulse-Position-Modulation ADC Architecture

被引：0

作者：

Liu, Mengyue ^{[1
]}

Liu, Yu ^{[1
]}

Wang, Yumei ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Key Lab Universal Wireless Commun, Minist Educ PRC, Beijing 100876, Peoples R China

来源：

2017 IEEE 28TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC) | 2017年

基金：

美国国家科学基金会;

关键词：

compressed sensing; random pulse-positionmodulation (PPM) analog-to-digital converter (ADC); iterative support detection (ISD) algorithm; improved-ISD algorithm;

D O I：

10.1109/PIMRC.2017.8292295

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Compressed sensing permits sub-Nyquist sampling, breaking the bottleneck of traditional Nyquist theory. The random pulse-position-modulation analog-to-digital converter (PPM ADC) is a sub-sampling structure, employing compressed sensing theory. To reconstruct signal in PPM ADC, period random sampling reconstruction (PRSreco) algorithm is firstly used, but it requires signal's prior sparsity information. Iterative support detection (ISD) algorithm recovers signal with no need of sparsity, thus we apply it to PPM ADC. To obtain a more accurate recovery especially when sub-sampling ratios are low, we propose an improved-ISD algorithm in this paper. Based on ISD, we add a SupportCorrection module and a denoising module. The former is implemented to choose more appropriate frequency support and the latter is carried out to eliminate the burr of frequency coefficients. Simulation results demonstrate that improved-ISD increases the recovery robustness at low sub-sampling ratios and augments mean output SNR.

引用

页数：6