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Measurement Of Response Function Of Chaotic Optical Chromatography System Based On Labview Platform System

Posted on:2018-12-24Degree:MasterType:Thesis
Country:ChinaCandidate:X T WuFull Text:PDF
GTID:2348330536966479Subject:IC Engineering
Abstract/Summary:PDF Full Text Request
Chaotic signal,a random fluctuation of the intensity of the waveform signal,it has a class of noise,unpredictable characteristics,so it is widely used in the field of communications.For example,it can be applied to chaotic communication,fiber laser sensor and image password research.In the course of the communication system research,the measurement of the system response function is of the utmost importance.In the current system response function of the study,the use of pseudo-random code sequence is seen as a means of research.Because increasing the symbol length of the pseudo-random pulse sequence can increase the accuracy of the measurement system resolution.However,the generation of pseudo-random optical pulse sequences requires the use of electrically random code-modulated lasers,limited by the bottleneck of the electronic device bandwidth,and the scope of application is not very extensive.And the correlation of the chaotic signal has similar characteristics similar to the pseudo-random code,which provides a certain possibility for the measurement system response function.And the bandwidth of the chaotic signal generated by the fiber laser can reach the order of GHz,which reduces the influence of the bandwidth on the system response function.Therefore,the chaotic signal as a light source measurement system response function,has a very important research significance.In order to realize the measurement of response function of chaotic light system,this paper studies a data acquisition system based on LabVIEW platform.Through the powerful data processing capability of LabVIEW,the response function of chaotic light system is realized.The main contents of this paper are as follows:1.A simple introduction of an imaging system,and through the imaging system,the choice of light source,reflecting the chaos in the communications,imaging a huge advantage.2.The measurement of system response function is introduced in detail.Through the application of spread spectrum technology and convolution technology,the measurement of system response function is improved.3.Details introduction the principles and processes of data collection.The data acquisition is a data acquisition system built on the LabVIEW platform.Data acquisition includes the selection of communication protocols,port settings,and data storage.During the port setup process,use the Virtual Instrument Software Architecture(VISA)to invoke the LabVIEW database for data manipulation.The database contains a variety of functions,LabVIEW functions are achieved through these functions.Data storage can have many types,such as text documents,binary files and so on.Data storage can be data playback,can be for the latter part of the data processing to provide great convenience.4.The experimental device diagram of the response function of the measurement system is introduced.In the process of explaining the experimental device,the measurement process of the system response function is illustrated by the exposition of the function of each part of the experimental device and the concrete description of the experiment process.In the process of measuring the response function of the system,the system response function is measured by changing the experimental sample,and the influence of the system response function on the whole system is explained by comparing the system response function.5.pairs of chaotic light as a light source to complete the system response function,make a summary and outlook.Through the summary and prospect description,represents the great advantage of using chaotic light to measure system response functions and we express the advantages of the chaotic optical imaging and the prospect of the future development.
Keywords/Search Tags:Chaos light, LabVIEW, System response function
PDF Full Text Request
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