In real time communications, system performance and computational complexities play key roles. Reducing the computational load and providing accurate performances are the main challenges in present systems. In this paper, a blind equalization (BE) with affordable complexity and good performance in large constellation MIMO systems is proposed. Saving computational cost happens both in the signal separation part and in signal detection part. First, based on binary phase shift keying (BPSK) or quadrature amplitude modulation (QAM) signal characteristics, an efficient and simple nonlinear function for the independent component analysis (ICA) is introduced. Second, using the idea of the sphere decoding (SD), we choose the soft information of channels smartly and overcome the so-called curse of dimensionality of the expectation maximization (EM) algorithm to enhance the final results.
['Xu Zhao', 'Michael Davies']
A feasible Blind Equalization scheme in large constellation MIMO systems