Multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) with an electronically steerable\r\npassive array radiator (ESPAR) antenna receiver can improve the bit error rate performance and obtains additional diversity gain\r\nwithout increasing the number of Radio Frequency (RF) front-end circuits.However, due to the large size of the channel matrix, the\r\ncomputational cost required for the detection process using Vertical-Bell Laboratories Layered Space-Time (V-BLAST) detection\r\nis too high to be implemented. Using the minimum mean square error sparse-sorted QR decomposition (MMSE sparse-SQRD)\r\nalgorithm for the detection process the average computational cost can be considerably reduced but is still higher compared with a\r\nconventional MIMOOFDM system without ESPAR antenna receiver. In this paper, we propose to use a low complexity submatrix\r\ndividedMMSE sparse-SQRDalgorithmfor the detection process ofMIMOOFDMwith ESPARantenna receiver.Thecomputational\r\ncost analysis and simulation results show that on average the proposed scheme can further reduce the computational cost and\r\nachieve a complexity comparable to the conventional MIMO-OFDM detection schemes.
Loading....