Implementation of linear detection techniques to overcome channel effects in MIMO

TL;DR

This paper compares SISO and MIMO systems, analyzing how linear detection techniques like LS and MMSE can mitigate channel effects to improve wireless communication reliability, especially under channel impairments.

Contribution

It introduces a comparative analysis of SISO and MIMO systems with linear detection methods, highlighting their effectiveness in overcoming channel impairments.

Findings

MIMO outperforms SISO in BER performance.

MMSE detection yields better results than LS.

Channel imperfections significantly affect BER.

Abstract

Spatial diversity technique enables improvement in quality and reliability of wireless link. Antenna diversity along with understanding effects of channel on transmitted signal and methods to overcome the channel impairment plays an important role in wireless communication where sharing of channel occurs between users. In this paper single input single output system (SISO) is compared with multiple input multiple output system (MIMO) in terms of bit error rate performance. Bit error rate performance is also evaluated for MIMO with least squares (LS) and Minimum mean square error (MMSE) linear detection. Further analysis and simulation is done to understand the effect of channel imperfections on BER.