Study and Analysis in MIMO Wireless Channel for STBC and Equalization Techniques by Using Matlab

The proposed research study analyzes several methods to achieve a higher data rate by using past wireless technologies and also enhancing the past technology by working on them and modifying them for achieving a better data flowing rate. This research work is focusing more on the multiple-inputs multiple-outputs(MIMO) system, and by using this system this research study aims to produce a higher data rate, higher data flowing channels by using multiplexing and diversity. Nowadays, wireless technology is on growing so for the future point of view, it is highly required to improve the current data flowing rate properties on the transceiver side. Here, by using both ends of the nodes, a higher data flowing capacity of the wireless system can be achieved with very negligible losses along with consistent quality performance while transporting the data packets from one door to another and getting a quick response through the channel that is modified by using spatial multiplexing and increasing it higher-level up. This spatial multiplexing help undamaged data packets to arrive at the link target as quickly as possible while transmission and due to this the higher data flowing rate can be achieved with a higher data gaining rate by only using the MIMO system. Based on past communication technologies, this study has have determined that Alamouti STBC and ZF equalizer is the best remedy for the analysis of MIMO system to calculate communication diversity including the helping hands of BPSK modulation technique for achieving a better quality result. The Alamouti STBC and ZF equalization technique is used to calculate the BER result and this would be the linear equalization technique that is used to find the receiver nodes on the transceivers. The most important key point is that, all the operations are performing on MATLAB.