Abstract
The sphere detection algorithm is a low SNR algorithm in the MIMO-OFDM system with low complexity, but it still has a certain complexity. It is challenging to choose its initial radius and determine whether a point is in the ball. The improved algorithm is to find the CL algorithm's initial radius by the particle swarm algorithm's optimization ability. Then the convergence factor is given to speed up the shrinkage speed of the CL algorithm's radius. The improved algorithm is compared with the CL algorithm. The simulation results clear that when the SNR ratio is below 16 dB, the enhanced algorithm significantly affects algorithm complexity. The improvement of the algorithm is proved to be effective and reliable.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jing, S.: Research on channel estimation and signal detection algorithms in MIMO_OFDM system Shen Jing. Beijing University of Posts and Telecommunications, Beijing (2012)
Jingpeng, G.: Research on joint method of channel estimation and signal detection in MIMO_OFDM system. Harbin Engineering University, Heilongjiang (2014)
Rui, W.: An improved ZF-OSIC signal detection algorithm in MIMO system. Inf. Technol. 34(4), 165–168 (2017)
Men, H., Jin, M.: A low - complexity ML detection algorithm for spatial modulation systems with PSK constellation. IEEE Commun. Lett. 18(8), 1375–1378 (2014)
Zhibin, X., Weichen, Z., Tongsi, X.: A low-complexity sphere detection algorithm for MIMO systems. Ship Sci. Technol. 35(8), 28–33 (2013)
Dan, W., Chao, S.: Improved MIMO system ball decoding and detection algorithm. Sensors Microsyst. 35(8), 123–126 (2016)
Jiejun, W.: Research on improved algorithm of SM system signal detection based on signal vector. Chongqing University, Chongqing (2016)
Nan, L., Qianzhu, W., Deling, H.: Research on low-complexity massive MIMO signal detection algorithm. Inf. Commun. 1, 32–34 (2017)
Jianqing, C., Lijia, G., Hui, H., et al.: Performance simulation comparison of sphere decoding algorithm in MIMO system. Antenna Servo Technol. 38(6), 38–41 (2012)
Nguyen, V.H., Berder, O., Scalart, P.: On the efficiency of sphere decoding for linearly precoded MIMO systems. In: Wireless Communications and Networking Conference (WCNC), pp. 4021–4025. IEEE, Shanghai (2013)
Ngo, H., Larsson, E., Marzetta, T.L.: Energy and spectral efficiency of very large multiuser MIMO systems. IEEE Trans. Wirel. Commun. 61(4), 1436–1449 (2012)
Diyuan, G.: Improved research on sphere decoding and detection algorithm in MIMO system. Northeastern University, Liaoning (2014)
Chunmeng, G.: Research on spatial modulation signal detection algorithm based on particle swarm optimization. Harbin Institute of Technology, Heilongjiang (2015)
Rui, L., et al.: Research on the application of sphere decoding algorithm in signal space diversity system. Comput. Appl. Res. 34(5) 1452–1454 (2017)
Acknowledgments
I would like to thank the anonymous commenters for their responsible attitude and helpful suggestions. Thanks to the tutor for guiding me and the students who helped me in the research process.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Jiang, X., Li, Y., Han, T. (2022). Improvement of CL Algorithm in MIMO-OFDM System. In: Jiang, X. (eds) Machine Learning and Intelligent Communications. MLICOM 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 438. Springer, Cham. https://doi.org/10.1007/978-3-031-04409-0_19
Download citation
DOI: https://doi.org/10.1007/978-3-031-04409-0_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-04408-3
Online ISBN: 978-3-031-04409-0
eBook Packages: Computer ScienceComputer Science (R0)