Browsing by Author "GHANEM, KAMAL DAW"
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Item A STUDY ON PERFORMANCE ANALYSIS OF SPACE TIME BLOCK CODING IN MULTIPLE INPUT MULTIPLE OUTPUT WIRELESS COMMUNICATION SYSTEMS(2022-01-13) GHANEM, KAMAL DAW; KARA, AliBuilding a Multiple Input Multiple Output (MIMO) channel to face real-world fading and noise efficiently needs good diversity and coding techniques. Space-time block code techniques of MIMO system can achieve huge performance gains in multipath fading wireless links. It has evolved as a most vibrant research area in wireless communications. Recently, STBC has been trying to incorporate in the forthcoming generation of mobile communication standard which aims to deliver true multimedia capability. The aim of this thesis study is to provide a two different encoding schemes of STBC depending on the selection for rate and number of transmit antennas, provide an Alamouti STBC encoding, an orthogonal STBC encoding and linear decoding technique while offering full diversity benefits in MIMO system. Our design aims to improve Bit Error Rate (BER) performance, increase the diversity order with less complexity in receiver, and improve error performance of synchronous data links without sacrificing data rate or requiring more bandwidth. The simulations have been done in MATLAB Simulink® 2020 environment. Simulation results have been compared in MIMO fading channel for QPSK modulation, which provide better BER performance in Rician fading channel compared to the Rayleigh fading channel. However, performance of the implemented MIMO-STBC depending on the selection for code rate and diversity order. By using Alamouti STBC, full diversity is accessible to the 2 x 8, whereas orthogonal STBC to the 4 x 8 MIMO system. Therefore, better results are produced if the received side uses maximum number of antennas. Diversity clearly depends on the number of receive antennas so it diversity and receive antennas are directly proportional. The simulation results show that the Orthogonal STBC design by various code rates can efficiently reduce the BER at the same time reduce signal – to - noise ratio (SNR).