Polarization Diversity In Multiple Input multiple output wireless communication system

• Main Author: Muhammad Faiz, Abdul Kadir
• Format: Thesis
• Language: English; English
• Published: 2011
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/7083/; http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=graphicFullDisplayRetriever.jsp&szMaterialNo=0000072097

Telecommunication and wireless local area network (WLAN) technologies are increasing rapidly within this few decades. The technology revolution occurred due to wireless communication is more and more commonly used in everyday life for user and customers. Due to that, multiple antennas system was been developed in order to cope the high demand from users and customers. The multiple antennas known as multiple input multiple output (MIMO) system can enhance the channel capacity and increased the output performance of the system. Therefore, this system does not require an extra bandwidth or increasing the transmit power. Based on that, the objective of this project was to predict the MIMO performance at operating frequency was 2.4 GHz. The beamforming network and microstrip array antenna was designed, fabricated and measured at desired operating frequency. In this project, Microwave Office software was used to design the beamforming network, while Computer Simulation Technology (CST) software was used to design the microstrip array antenna. Both designed has been fabricated using etching technique and the Advantest Network Analyzer was used to measure the performance of the designs. The simulation and measurement data were been compared and discussed. The fabricated bearnforming network and microstrip antenna were used to develop the Radio Frequency (RF) MIMO test bed system. The system measurement was been conducted in Microwave Laboratory at Faculty of Electronic and Computer Engineering, UTeM with the operating frequency 2.4 GHz. The spatial diversity, polarization diversity and beamforming network were been applied in measurement campaign to investigate the performance of wireless MIMO channel. The data that obtain from the measurement will be post-process using MATLAB software in order to calculate the MIMO channel capacity. The analysis will be focused on the effect of the MIMO channel capacity due to the proposed measurement setup configurations