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Performance Analysis of Diversity Techniques for Wireless Communication System
Blekinge Institute of Technology, School of Computing.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

Different diversity techniques such as Maximal-Ratio Combining (MRC), Equal-Gain Combining (EGC) and Selection Combining (SC) are described and analyzed. Two branches (N=2) diversity systems that are used for pre-detection combining have been investigated and computed. The statistics of carrier to noise ratio (CNR) and carrier to interference ratio (CIR) without diversity assuming Rayleigh fading model have been examined and then measured for diversity systems. The probability of error (p_e) vs CNR and (p_e) versus CIR have also been obtained. The fading dynamic range of the instantaneous CNR and CIR is reduced remarkably when diversity systems are used [1]. For a certain average probability of error, a higher valued average CNR and CIR is in need for non-diversity systems [1]. But a smaller valued of CNR and CIR are compared to diversity systems. The overall conclusion is that maximal-ratio combining (MRC) achieves the best performance improvement compared to other combining methods. Diversity techniques are very useful to improve the performance of high speed wireless channel to transmit data and information. The problems which considered in this thesis are not new but I have tried to organize, prove and analyze in new ways.

Place, publisher, year, edition, pages
2012. , 74 p.
Keyword [en]
Maximal-Ratio Combining (MRC), Equal-Gain Combining (EGD), Selection Combining (SC), Carrier to Noise Ratio (CNR), Carrier to Interference Ratio (CIR), Diversity Techniques, Path Loss, Channel Propagation.
National Category
Probability Theory and Statistics Telecommunications Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:bth-1962Local ID: diva2:829221
Physics, Chemistry, Mathematics
Available from: 2015-04-22 Created: 2012-11-22 Last updated: 2015-06-30Bibliographically approved

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School of Computing
Probability Theory and StatisticsTelecommunicationsElectrical Engineering, Electronic Engineering, Information Engineering

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