Low complexity channel estimation and detection for MIMO-OFDM receiver with ESPAR antenna

Multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) receiver with an electronically steerable passive array radiator (ESPAR) antenna can improve the bit error rate (BER) performance and obtain additional diversity gain without increasing the number of radio frequency (RF) front-end circuits. In this scheme, a minimum mean square error (MMSE) channel estimator is employed for obtaining the channel state information. However, its drawbacks include insufficient estimation accuracy and high computational complexity due to the inverse matrix calculation. In this paper, we propose to use a low complexity compressed sensing-based channel estimation for the MIMO-OFDM receiver with ESPAR antenna. We also propose a low complexity detection scheme to further reduce the computational cost required for the detection. The simulation results show that using the proposed channel estimation method, the BER performance is improved while its complexity is reduced. The simulations also show that the proposed detection scheme successfully reduces the required computational cost while minimizing the degradation in the BER.