Paper
18 November 2024 Low-complexity signal detection of OTFS in high-speed mobile communication system
Guofu Wang, Shao Xu
Author Affiliations +
Proceedings Volume 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024); 1339818 (2024) https://doi.org/10.1117/12.3049715
Event: Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 2024, Nanjing, China
Abstract
Double-selective fading in multipath environments seriously affects the spectral efficiency and stability of communication systems. In high-speed mobile scenarios, traditional communication technology is difficult to cope with rapidly changing channel conditions, resulting in performance degradation. Orthogonal time-frequency space modulation (OTFS) is proposed to solve these challenges, but in ZP-MIMO-OTFS systems, the artificial setting of damping factors brings uncertainty, affecting system performance. Although the existing maximum ratio combined signal detection algorithm (MRC) has improved the performance, its effect is greatly affected by the selection of damping factor. Therefore, a GAMRC detection algorithm based on multi-objective genetic optimization algorithm is proposed in this paper. By optimizing the population evolution and elimination mechanism of the algorithm, the contingency and uncertainty of damping factor selection are reduced. The simulation results show that GA-MRC detection algorithm can provide better performance under different damping factors, which provides a reference for realizing the lowest bit error rate.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Guofu Wang and Shao Xu "Low-complexity signal detection of OTFS in high-speed mobile communication system", Proc. SPIE 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 1339818 (18 November 2024); https://doi.org/10.1117/12.3049715
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KEYWORDS
Detection and tracking algorithms

Genetic algorithms

Mathematical optimization

Signal detection

Computer simulations

Modulation

Genetics

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