Abstract
This paper simulates and investigates the performance of four widely-used channel estimation techniques for MIMO-OFDM wireless communication systems; namely, super imposed pilot (SIP), comb-type, spacetime block coding (STBC), and space-frequency block coding (SFBC) techniques. The performance is evaluated through a number of MATLab simulations, where the bit-error rate (BER) and the mean square error (MSE) are estimated and compared for different levels of signal-to-noise ratio (SNR). The simulation results demonstrate that the comb-type channel estimation and the SIP techniques overwhelmed the performance of the STFC and STBC techniques in terms of both bit-error rate (BER) and mean square error (MSE).
Highlights
One of the most challenging topics in today wireless communication systems is how to accomplish high data transmission rate and maintain satisfactory quality-of-service (QoS) that can meet the exponentially growing users and applications demands
One of the promising solutions to this problem is to combine the concepts of multiple-input multiple-output (MIMO) with orthogonal frequency division multiplexing (OFDM); which led to the emergent of the new MIMO-OFDM wireless communication systems [1, 2]
The bit-error rate (BER) and mean square error (MSE) are investigated against an interesting input parameter, namely, the signal-to-noise ratio (SNR), which is defined as the ratio of signal power to the noise power
Summary
One of the most challenging topics in today wireless communication systems is how to accomplish high data transmission rate and maintain satisfactory quality-of-service (QoS) that can meet the exponentially growing users and applications demands. This paper simulates and investigates the performance of four different channel estimation techniques for MIMO-OFDM systems; these are: super imposed pilot (SIP) [11], comb-type [12], space-time block coding (STBC) [13], and space-frequency block coding (SFBC) [14] techniques.
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