Abstract
The wireless communication system with MIMO-OFDMA has gained popularity in current generation. The communication through MIMO-OFDMA integrated with three element based steering antenna can offer the significant improvement in the performance with respect to bit error rate (BER) and provides the extra diversity gain without altering the radio frequency (RF) of front end circuits. This system uses a channel estimator i.e., mean square error (MSer) to get the information of the channel state but lags with accuracy in channel estimation and complexity issue on computation due to calculation of inverse matrix. This paper, compressive sensing based low complexity detection is introduced to have less complex channel estimation and detection for MIMO-OFDMA receiver with same antenna. The final outcome of the proposed system indicates the improvement in BER which further allows minimizing the computational cost.
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Archana, B., Surekha, T.P. (2019). A Compressive Sensing Based Channel Estimator and Detection System for MIMO-OFDMA System. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Computational and Statistical Methods in Intelligent Systems. CoMeSySo 2018. Advances in Intelligent Systems and Computing, vol 859. Springer, Cham. https://doi.org/10.1007/978-3-030-00211-4_3
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DOI: https://doi.org/10.1007/978-3-030-00211-4_3
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