Abstract
Multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) with an electronically steerable passive array radiator (ESPAR) antenna receiver can improve the bit error rate performance and obtains additional diversity gain without increasing the number of Radio Frequency (RF) front-end circuits. However, due to the large size of the channel matrix, the computational cost required for the detection process using Vertical-Bell Laboratories Layered Space-Time (V-BLAST) detection is too high to be implemented. Using the minimum mean square error sparse-sorted QR decomposition (MMSE sparse-SQRD) algorithm for the detection process the average computational cost can be considerably reduced but is still higher compared with a conventional MIMOOFDM system without ESPAR antenna receiver. In this paper, we propose to use a low complexity submatrix divided MMSE sparse-SQRD algorithm for the detection process of MIMOOFDM with ESPAR antenna receiver. The computational cost analysis and simulation results show that on average the proposed scheme can further reduce the computational cost and achieve a complexity comparable to the conventional MIMO-OFDM detection schemes.
Highlights
In multipath fading channels, multiple input multiple output (MIMO) antenna systems can achieve a great increase in the channel capacity [1]
For a BER of 10−3, the proposed scheme with eighteenthsize (k = 18) submatrix size that achieves the minimum computational cost obtains an additional gain of about 11 dB compared to a conventional MIMO-orthogonal frequency division multiplexing (OFDM) 2 × 2 VBLAST system without electronically steerable passive array radiator (ESPAR) antenna receiver
We have proposed a low complexity submatrix divided MMSE Sparse-SQRD algorithm for the detection of MIMO-OFDM with ESPAR antenna receiver
Summary
Multiple input multiple output (MIMO) antenna systems can achieve a great increase in the channel capacity [1]. The computational cost reduction is achieved by exploiting the sparse structure of the channel matrix This detection algorithm considerably reduces the average computational cost and improves the bit error rate performance compared to the original scheme [3, 4]. Detection process of MIMO-OFDM with ESPAR antenna receiver was proposed by the authors in [10] for further reduction in the computational cost This algorithm divides the channel matrix into k smaller submatrices reducing the computational cost but adding a small degradation in the bit error rate performance. This paper is an extension of [10] including results of the bit error performance and computational cost for higher order submatrix division schemes.
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