Performance Evaluation of Multiple Antenna Systems with Diversity Techniques Using Ber Analysis

The main thrust of this paper is to investigate the effectiveness of multiple-antenna systems in signal interference mitigation. Wireless communication is characterized by multipath propagation resulting to signal degradation. MATLAB Toolbox version 7.0 at R.F Processing was used to carry out BER Performance simulation in a Raleigh fading environment for the different antenna systems including Single-Input Single-Output used specifically for reference purpose. The model incorporates the use of Zero-Forcing (ZF) Equalizer at the receiver. Performance evaluation was done at Receiver BER Threshold of ?10?^(-3)and?10?^(-4). The diversity methods employed by the multiple antennas were also analysed by comparing their E_b ?/N?_o (Energy per bit to noise power spectral density ratio). Multiple-Input Single-Output with Transmit diversity technique was shown to have 3dB diversity gain over reThe main thrust of this paper is to investigate the effectiveness of multiple-antenna systems in signal interference mitigation. Wireless communication is characterized by multipath propagation resulting to signal degradation. MATLAB Toolbox version 7.0 at R.F Processing was used to carry out BER Performance simulation in a Raleigh fading environment for the different antenna systems including Single-Input Single-Output used specifically for reference purpose. The model incorporates the use of Zero-Forcing (ZF) Equalizer at the receiver. Performance evaluation was done at Receiver BER Threshold of ?10?^(-3)and?10?^(-4). The diversity methods employed by the multiple antennas were also analysed by comparing their E_b ?/N?_o (Energy per bit to noise power spectral density ratio). Multiple-Input Single-Output with Transmit diversity technique was shown to have 3dB diversity gain over receive diversity technique indicating a more robust transmission method.ceive diversity technique indicating a more robust transmission method.