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The Hardware Principle And Design Realization Of Analog Information Converter

Posted on:2021-05-08Degree:MasterType:Thesis
Country:ChinaCandidate:F WangFull Text:PDF
GTID:2428330623967857Subject:Instrument Science and Technology
Abstract/Summary:PDF Full Text Request
Due to the Analog to digital Analog to digital converter(ADC)Analog-to-digital,the sampling rate is not high,at home,the high sampling rate can do only 40 g,foreign can do the highest sampling rate is 120 g,therefore,in the high frequency signal sampling,if again with Nyquist sampling theorem of traditional sampling way signal sampling and recovery,will encounter a lot of difficulties.If a sampling system based on sub-Nyquist Sampling is adopted,additional conditions are usually required,such as the need to know in advance the spectral information of the signal to be processed,etc.In practical applications,these prerequisites are often not easily met.In the face of how to solve the problem of UWB signal,researchers have put forward a new theory.Unlike traditional sampling process to compressed perception as theoretical basis according to the amount of sampling system,the signal sampling,sampling process and the sampled data compressing the two steps into one step,this operation is that the benefits of both retain the key data required for signal recovery,and reduces the system to transmit data,reduce the pressure of the sampling system,and in the end,the sampling data,restore by signal reconstruction algorithm.The main research work of this paper is to firstly compare the traditional signal sampling with the signal sampling based on compressed sensing,then determine which adoption framework is adopted,finally carry out hardware design through the determined sampling framework,and finally complete the analog information converter.According to the requirements of the project,the analog information converter should be able to blind sample the signal and sample at a lower sampling rate than Nyquist and successfully recover the original signal.The analog information converter mainly consists of two parts,one is the analog part of the input signal conditioning,the other is the sampling of the processed signal,the obtained data is processed through FPGA,and the signal recovery can be completed through the recovery algorithm.In simulating information converter function part,as a result,teaching and research section project requirements,mainly divides into the signal conditioning,sampling and the sampling data processing to recover the input signal,this paper mainly analog circuit design part,mainly including signal amplification,signals of power allocation and the mixing of main circuit,finally according to the module of circuit debugging,see if each module can work normally.
Keywords/Search Tags:Compressed sensing theory, Ultra-bandwidth sparse signals, Sub-Nyquist sampling, Hardware design
PDF Full Text Request
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