Title :
Performance analysis of ZF and MMSE equalizers for MIMO systems
Author :
Trimeche, Abdessalem ; Boukid, Nesrine ; Sakly, Anis ; Mtibaa, Abdellatif
Author_Institution :
Lab. of Electron. & Microelectron., Univ. of Monastir, Monastir, Tunisia
Abstract :
This paper presents an in-depth analysis of the zero forcing (ZF) and minimum mean squared error (MMSE) equalizers applied to wireless multi-input multi-output (MIMO) systems with no fewer receive than transmit antennas. In spite of much prior work on this subject, we reveal several new and surprising analytical results in terms of output signal-to-noise ratio (SNR), by comparing the Bit Error Rate (BER) and the average detection time consuming. Simulation based on the platform of MATLAB. We discuss the case where there a multiple transmit antennas and multiple receive antennas resulting in the formation of a Multiple Input Multiple Output (MIMO) channel with Zero Forcing equalizer, MIMO with MMSE equalizer, MIMO with ZF Successive Interference Cancellation equalizer, MIMO with ML equalization, MIMO with MMSE SIC and optimal ordering.
Keywords :
MIMO communication; error statistics; interference; mean square error methods; receiving antennas; transmitting antennas; BER; MATLAB; MIMO channel; MIMO system; ML equalization; MMSE SIC; MMSE equalizer; ZF successive interference cancellation equalizer; average detection time consuming; bit error rate; minimum mean squared error equalizer; multiple receive antenna; multiple transmit antenna; optimal ordering; output signal-to-noise ratio; performance analysis; wireless multiinput multioutput system; zero forcing equalizer; Bit error rate; Detectors; Equalizers; MIMO; Quadrature amplitude modulation; Signal to noise ratio; BER; MIMO; ML; MMSE; SNR…; ZF;
Conference_Titel :
Design & Technology of Integrated Systems in Nanoscale Era (DTIS), 2012 7th International Conference on
Conference_Location :
Gammarth
Print_ISBN :
978-1-4673-1926-3
DOI :
10.1109/DTIS.2012.6232979
