Adaptive widely linear processing for MIMO systems

Abstract

Wireless communication systems using two or more transmit antennas and one or more receiving antennas have emerged in recent years. There are several reasons for this to be occurring, including: the increasing demand for high data rate, high user mobility, the search for greater spectral efficiency and better quality of service (QoS). The space diversity provided by the use of multiple antennas can effectively combat deep fading caused by wireless communication channel. The analysis and description of MIMO (Multiple Input, Multiple Output) channels is much more complex when compared to SISO (Single Input, Single Output) systems because we have NT (> 1) antennas and NR (> 1) receiving antennas and in total we have NTxNR channels. In this paper we will focus on the application of widely linear (WL) processing systems MISO (Multiple Input, Single Output) and MIMO, especially in the form proposed by Alamouti. This paper presents a proposal for a low-cost computer that uses the WL processing in a MIMO system consisting of two antennas and two receive antennas. The simulation results confirm the effectiveness of this scheme.