A common framework for ML detection of spatially multiplexed and space time coded MIMO signals and reducing its computational complexity

Chavali, N K and Mounika, S and Kuchi, Kiran (2016) A common framework for ML detection of spatially multiplexed and space time coded MIMO signals and reducing its computational complexity. In: International Conference on Signal Processing and Communications (SPCOM), 12-15 June 2016.

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Abstract

In this paper, a common framework for maximum likelihood (ML) detection of spatial multiplexed (SM) and space time coded multiple-input multiple-output (MIMO) signals is proposed. It facilitates a common field programmable gate array (FPGA) based hardware design for the detection of both SM and space time block coded (STBC) MIMO signals with reduced computational complexity. We reduce the number of multipliers required for the ML detection by utilizing a set of precomputed combinations of the constellation symbols from lookup tables (LUT) without any degradation in the packet error rate (PER) performance. The reduction in the computational complexity is achieved by using the additional memory that is available in the FPGA. To evaluate the performance of the proposed method, we perform simulations for the WLAN system based on IEEE 802.11 standard using SM-MIMO and STBC-MIMO.

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