A SE-CMA based blind equalization for MIMO systems
Shi Kun, Xudong Zhang · 2005
In this paper, we investigate adaptive blind source separation and equalization for linear multiple input multiple output (MIMO) systems. To effectively recover input signals, remove inter-symbol interference (ISI) and suppress inter-user interference (IUI), a sign error constant modulus algorithm (SE-CMA) is proposed for MIMO systems. Computer simulation results illustrate the promising performance of the proposed method. Without channel identification, the proposed method can recover all the system inputs simultaneously and can be adaptive to channel changes without prior knowledge about signals. Furthermore, this algorithm substantially reduces word length requirement, which will contribute to numerical accuracy and hardware simplicity in finite word length fixed point implementation.