  Minimizing training overhead in channel estimation is a crucial challenge in
wireless communication systems. This paper presents an extension of the
traditional blind algorithm, called "Mutually referenced equalizers" (MRE),
specifically designed for MIMO systems. Additionally, we propose a novel
semi-blind method, SB-MRE, which combines the benefits of pilot-based and MRE
approaches to achieve enhanced performance while utilizing a reduced number of
pilot symbols. Moreover, the SB-MRE algorithm helps to minimize complexity and
training overhead and to remove the ambiguities inherent to blind processing.
The simulation results demonstrated that SB-MRE outperforms other linear
algorithms, i.e., MMSE, ZF, and MRE, in terms of training overhead symbols and
complexity, thereby offering a promising solution to address the challenge of
minimizing training overhead in channel estimation for wireless communication
systems.
