Simulative Investigations on Three Different Multi Input Multi Output Signal Detection Techniques

Abstract

Now a days, the demand for wireless communication is increasing dramatically across the world. but as the radio spectrum is limited hence the only solutionis to increase the data rates to accommodate more users. These data rates can be achieved only by designing more efficient signaling techniques.Multiple Input Multiple Output (MIMO) technology is one of the most promising wireless technologies that can efficiently boost the data transmission rate, improve system coverage, and enhance link reliability. Higher data rate can be achieved by designing more efficient signaling techniques. MIMO techniques enable a new dimension called the spatial dimension (SM-MIMO). Inter Symbol Interference (ISI) is the major problem in MIMO system. Various MIMO detection algorithms have been proposed in literature to exploit the gains provided by MIMO. By employing multiple antennas at transmitter and receiver sides, MIMO techniques enable a new dimension called the spatial dimension that can be utilized in different ways to combat the impairments of wireless channels, but Inter Symbol Interference (ISI) is the main problem. To reduce ISI there are different detection techniques used. Detection is a well known technique for combating inter symbol interferenceThis paper will focus three different types of detection techniques like Zero forcing (ZF), Fixed Zero forcing (Fixed ZF), Lattice reduction (LR). These detectors are compared and analyzed for different Signal Error Rate (SER) v/s Signal to Noise Ratio (SNR) in spatial multiplexing domain. A simulation results shows that Lattice reduction detectors have better performance in terms of BERand SER.