Design and exploration of low-power sub-nyquist processing with Modulated Wideband Converter - Details

Author：

Liu, Sujuan (Liu, Sujuan.) | Zhang, Meihui (Zhang, Meihui.) | Jiang, Wenshu (Jiang, Wenshu.)

Indexed by：

EI Scopus

Abstract：

This　study　proposes　a　practical　method　to　optimize　Modulated　Wideband　Converter　(MWC)　used　in　analog-to-digital　conversion　based　on　sparse　Bernoulli　algorithm.　MWC　is　a　multi-channel　parallel　architecture　with　Analog-to-Information　Converter　(AIC)　to　achieve　sub-Nyquist　sampling　for　the　wideband　multi-frequency　signals.　However,　the　dense　Bernoulli　measurement　matrix　in　MWC　will　cause　redundancy　between　the　measurement　value　and　increase　complexity　of　circuit.　This　study　uses　sparse　Bernoulli　algorithm　instead　which　reduces　the　relevance　between　measurement　values　and　reduces　the　complexity　of　the　circuit　design　and　power　consumption.　Numerical　simulation　results　show　that　the　proposed　MWC　can　perform　sub-Nyquist　sampling　and　accurately　reconstruct　the　original　signal.　©　2014　IEEE.

Keyword：

Analog to digital conversion Parallel architectures Integrated circuit manufacture Digital to analog conversion Signal sampling

Author Community：

[ 1 ] [Liu, Sujuan]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Zhang, Meihui]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
[ 3 ] [Jiang, Wenshu]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China