Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2023.2209416
Performance analysis of alternating minimization based low complexity detection for MIMO communication system
M. Kasiselvanathan
; Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
*
Manikandan Rajagopal
; Lean Operations and Systems, School of Business and Management, CHRIST University, Bengaluru, Karnataka, India
V. V. Teresa
; Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India
Prabhakar Krishnan
; Center for Cybersecurity Systems and Networks, Amrita Vishwa Vidyapeetham, Amritapuri-Campus, Kollam, Kerala, India
* Dopisni autor.
Sažetak
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.
Ključne riječi
MIMO; CPM; MPSOs; signal detection; BER; complexity
Hrčak ID:
315931
URI
Datum izdavanja:
24.5.2023.
Posjeta: 338 *