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Semi-Blind Adaptive Spatial Equalization for MIMO Systems with High-Order QAM Signalling

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3 Author(s)
Chen, S. ; Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton ; Yao, W. ; Hanzo, L.

This contribution investigates semi-blind adaptive spatial filtering or equalisation for multiple-input multiple-output (MIMO) systems that employ high-throughput quadrature amplitude modulation (QAM) signalling. A minimum number of training symbols, equal to the number of receivers (we assume that the number of transmitters is no more than that of receivers), are first utilized to provide a rough least squares channel estimate of the system is MIMO channel matrix for the initialization of the spatial equalizer is weight vectors. A constant modulus algorithm aided soft decision-directed blind algorithm, originally derived for blind equalization of single-input single-output and single-input multiple-output systems employing high-order QAM signalling, is then extended to adapt the spatial equalizers for MIMO systems. This semi-blind scheme has a low computational complexity, and our simulation results demonstrate that it converges fast to the minimum mean-square-error spatial equalization solution.

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Wireless Communications, IEEE Transactions on  (Volume:7 ,  Issue: 11 )