THE IMPLEMENTATION OF MULTIPATH RAYLEIGH FADING CHANNEL USING AUTOREGRESSIVE MODEL ON TMS320C6713 DSK
Rayleigh fading is a channel condition realistic approach on wireless communication system where signal propagation is non line of sight between transmitter and receiver. Several method has been proposed for simulating this <br /> <br /> Rayleigh fading. One of the method to simulate R...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/15051 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Rayleigh fading is a channel condition realistic approach on wireless communication system where signal propagation is non line of sight between transmitter and receiver. Several method has been proposed for simulating this <br />
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Rayleigh fading. One of the method to simulate Rayleigh is by filtering independent Gaussian variable. In this Thesis the author interested to simulate fading multipath channel and implement it on TMS320C6713 DSK. Fading data Rayleigh distributed is generated using autoregressive which is combine with an interpolator Simulation is done using MATLAB and C language on CCS, then algoritm implementation is done to the TMS320C6713 DSK. Fading data Rayleigh which is generated is evaluated based on distribution, MSE, <br />
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autocorrelation and cross-correlation. Non-real time implementation is done for BPSK, QPSK, and OFDM communication system. Real time implementation is done by designing TMS320C6713 DSK as multipath channel. <br />
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From the testing outcome, it is resulted that the pdf histogram of Rayleigh fading data has distribution close to the theoretical value. The use of interpolator do not change the fading data distribution. MSE difference from fading data which is generated directly by AR filter and from fading data which is generated by a combination of AR filter and interpolator is about 2% until 6%. This show <br />
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that the use of interpolator will give practicability in generating fading data with any fDT without AR filter redesign. |
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