Performance analysis of alternating minimization based low complexity detection for MIMO communication system

Several antennas are used for sending and receiving in large MIMO (Multiple-Input-Multiple-Output) devices and assist in enhanced performances of wireless communication systems. One important component of Large MIMO systems is that MIMO detectors are placed at receiver ends, whose functions are to r...

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Bibliographic Details
Published in:Automatika 2023-10, Vol.64 (4), p.748-755
Main Authors: M., Kasiselvanathan, Rajagopal, Manikandan, V. V., Teresa, Krishnan, Prabhakar
Format: Article
Language:English
Subjects:
BER
Bit error rate
Broadcasting antennas
Codes
Complexity
CPM
MIMO
MIMO communication
MPSOs
Optimization
Quadratures
signal detection
Signal generation
Wireless communication systems
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Summary:Several antennas are used for sending and receiving in large MIMO (Multiple-Input-Multiple-Output) devices and assist in enhanced performances of wireless communication systems. One important component of Large MIMO systems is that MIMO detectors are placed at receiver ends, whose functions are to regain symbols broadcasts from multiple antennas. In this paper, novelAMLCD (Alternating Minimizationbased Low Complexity Detections) method is proposed in which AMs (Alternating Minimizations) are applied in initial stages to detect signals. Soft value generation is used for the second stage to estimate the signals. Finally, the more optimal estimated signal value will be chosen by applying the MPSOs (Modified Particle Swarm Optimizations). The system's functions are evaluated using CPMs (Continuous Phase Modulations) and channel's AWGNs (Additive White Gaussian Noises). According to the results obtained, the suggested AMLCD method with modulations of CPMs outperform known methods using QAMs (Quadrature Amplitude Modulations) under multiple antennas in terms of BERs (Bit Error Rates). The AMLCD method also reduces the time complexity and computational complexity compared to the existing methods.
ISSN:0005-1144
1848-3380
DOI:10.1080/00051144.2023.2209416