Abstract
Problem statement: Multiple-Input Multiple-Output systems (MIMO) were regarded as one of the most promising technologies in field of wireless communication. Generally considered as one of the several forms of smart antenna technolog y, it offers considerable increase in data throughp ut and link range without additional bandwidth or tran smit power. The general idea involves the use of several antennas at the transmitter and the receive r to improve system performance . One of the approaches employed in combating ISI in MIMO transmission was through the use of equalizers. Approach: In this study a proposed MIMO system was simulated using MATLAB software. The different equalization schemes Zero Forcing (ZF) eq ualizer and Minimum Mean Square Error (MMSE) which aid in the elimination of Inter Symbol Interference (ISI) thus improving overall performance were compared to analyze the BER of the designed system. Results: From the simulation results, the MMSE equalizer clearly had a better performance over the ZF equalizer in the region of about 3 dB. Conclusion: MIMO transmission with MMSE equalization offers greater performance over ZF equalization. This helps in nul lifying the effects of ISI thus improving overall performance. Thorough understanding of these techniques provides a good platform for future research in areas such as MIMO-OFDM.
Highlights
One of the major bottlenecks encountered in the wireless channel has been multipath propagation
In a Multiple-Input Multiple-Output (MIMO) system the data stream from an individual user is demultiplexed into Nt separate substreams where Nt is equal to the number of transmit antennas employed in such a system
The effect of Zero Forcing (ZF) equalizer and Minimum Mean Square Error (MMSE) equalizer on MIMO transmission system is simulated in this study
Summary
One of the major bottlenecks encountered in the wireless channel has been multipath propagation. MIMO technology has much channel capacity by configuring many antennas on the transmitters and receivers compared to traditional SISO channel. Definition Television) we should have very high spectrum efficiency and the capacity of overcoming the channel fading in the environment of multi-path channel (Ling, 2010) With this transmission scheme, there is a linear increase in spectral efficiency compared to a logarithmic increase in more traditional systems utilizing receive diversity or no diversity (Holter, 2001). When the signals are conveyed through uncorrelated channels between the transmitter and receiver, the signals corresponding to each of the individual transmit antennas have attained different spatial signatures. Where by the channel experienced between each transmit to the receive antenna is independent and varying in time. Perform equalization on the received signal Demodulate the BPSK symbols Calculate the bit error rate of the system
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