RF Signal Sampling using Compress Sensing and its Implementation on FPGA

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Talebi Tabar Monfared, Homayoon | 2016

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 49500 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Pezeshk, Amir Mansour
Abstract:
Analog-to-digital conversion and signal processing has been increasing due to its many advantages. So that mostly we prefer to convert signal from analog area to digital samples, then they are processed and finaly put the result signal at the system output. How ever because the restriction of the sampling rate, Prevent the spread of digital processing for the high-frequency signal (RF). In recent years, ADCs sampling rate rise up to several GHz (for example ADC with 4 GSPS and 12 bits for TI) that output of the these ADCs by powerful and fast FPGAs are processed but According to Shannon theorem band width of these ADCs is not desirable.the goal of this thesis uses of the compressed sensing theory for sparse signal sampling and spread the band width for increase the performance of the ADCs. Indeed by using the extension of the compressed sensing to analog signals, we sample the signal under the sub_Nyquist rate
Keywords:
Compressive Sensing ; Field Programmable Gate Array (FPGA) ; Sub-Nyquist Sampling ; Modulated Wideband Converter ; Joint Sparsity

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