Efficient Channel Estimation and Detection Techniques for MIMO-OFDM Receivers Using ESPAR Antenna with Low-Complexity

Abstract

Receivers that use multiple input, multiple output orthogonal frequency division multiplexing (MIMO-OFDM) alongside an electronically steerable passive array radiator (ESPAR) antenna is capable of incresing diversity gain while enhance bit error rate (BER) performance without adding more radio-frequency (RF) front-end circuits. In this technique, the channel state information is obtained by applying a minimum-mean-square-error channel estimator. However, due to the inverse matrix calculation, it has a high computational cost and poor estimation accuracy. For the MIMO-OFDM receiver with an ESPAR antenna, employing low-complexity compressed-sensing-based channel estimation has been suggested in this article. We also provide a simple detection method to further cut down on the computation needed for the detection. According to the simulation findings, the suggested channel estimation approach improves BER performance while reducing complexity. The simulations also demonstrate that the suggested detection method appropriately lowers the necessary computational expense yet minimising BER damage. Low-complexity compressed-sensing based channel estimate for the MIMO-OFDM receiver with an ESPAR antenna is the major goal of this procedure. To further lower the computing cost needed for the detection, a low-complexity detection strategy has also been discovered.