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Adaptive blind MIMO equalization algorithm adopting decision feedback recurrent neural network(DFRNN) is proposed and investigated in 4 × 56 Gbit/s MDM-QPSK system. The required-data-length of DFRNN is 1/3 of that in CMA with similar performance.
In the Multiple Input Multiple Output (MIMO) systems, the receiver performance is greatly affected by Antenna Gain Imbalance (AGI). This paper proposes an novel AGI detection algorithm based on the Least Square (LS) channel estimation. The AGI parameter is accurately obtained after eliminating the influence of noise from the channel through the long-term statistics. Moreover, a compensation algorithm...
The maximum likelihood detection with QR decomposition and M-algorithm (QRM-MLD) has been proposed as a near-optimal multiple-input multiple-output (MIMO) detection scheme which can achieve near maximum likelihood (ML) performance with complexity greatly reduced. However, the performance of the QRM-MLD algorithm will deteriorate with the increasing of the number of transmit antennas, as well as the...
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