Performance Analysis of MIMO Detection Algorithms with BPSK and PAM Modulation
R. Padmasree1, B. Rajendra Naik2

1R. Padmasree, Research Scholar, Department of ECE, University College of Engineering, Osmania University, Hyderabad (Telangana), India.
2B. Rajendra Naik, Professor, Department of ECE, University College of Engineering, Osmania University, Hyderabad (Telangana), India.
Manuscript received on 12 October 2022 | Revised Manuscript received on 17 October 2022 | Manuscript Accepted on 15 November 2022 | Manuscript published on 30 November 2022 | PP: 23-28 | Volume-11 Issue-4, November 2022 | Retrieval Number: 100.1/ijrte.D73191111422 | DOI: 10.35940/ijrte.D7319.1111422
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Abstract: One of the best strategies for worthwhile Communication in wireless technologies is MIMO i.e., Multiple input and Multiple output systems where the information exchange is happened through multiple antennas. The Wireless transmission of data/signal suffers from fading and interference effects which creates a problem for signal recovery in wireless communication hence these effects can be controlled by the equalizer. The MIMO system uses multiple antennas at the transmitter and receiver to exploit multipath propagation. The paper emphasizes various channel equalization algorithms recognized for sub-optimum MIMO detection which include Zero Forcing (ZF), Minimum Mean Square Error (MMSE), ZF-SIC, and MMSE-SIC equalizers, the performance is evaluated for 2*2 and 4*4 MIMO wireless channels using various modulation schemes in which BER is taken for consideration. The implementation work is carried out through MATLAB toolbox version 2018b. 
Keywords: BER, ZF Equalizer, MMSE Equalizer, ZF-SIC Equalizer, MMSE-SIC Equalizer.
Scope of the Article: Analysis of Algorithms and Computational Complexity