WU Tao, JING Xiaojun. Exploration of Multiple Access Interference Suppression Based on Multi-user Detection[J]. Chinese Journal of Electronics, 2019, 28(4): 835-840. doi: 10.1049/cje.2019.05.011
Citation: WU Tao, JING Xiaojun. Exploration of Multiple Access Interference Suppression Based on Multi-user Detection[J]. Chinese Journal of Electronics, 2019, 28(4): 835-840. doi: 10.1049/cje.2019.05.011

Exploration of Multiple Access Interference Suppression Based on Multi-user Detection

doi: 10.1049/cje.2019.05.011
  • Received Date: 2018-11-20
  • Rev Recd Date: 2019-01-20
  • Publish Date: 2019-07-10
  • A multi-user detection algorithm for multiple access interference suppression combined with the minimum mean squared error and an artificial fish swarm algorithm is proposed. By taking advantage of the artificial fish swarm algorithm, the proposed algorithm can quickly converge to the optimal solution. The variation in the minimum mean squared error based test results is assigned to the artificial fish swarm algorithm, which is regarded as the initial state of artificial fish. The simulation results show that the proposed algorithm has a better multi-user capacity performance and lower bit-error rate than the minimum mean squared error detector.
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  • Z.G Zhai, “Development of next generation date relay satellite systems”, Journal of Spacecraft TT&C Technology, Vol.35, No.2, pp.89–97, 2016.
    H. Ma and Y.H Wu, “Research on tracking and data ralay satellite system anti-jamming technology”, Journal of Ordnance Equipment Engineering, Vol.38, No.7, pp.123–128, 2017.
    A. T. Fam, R. Kadlimatti and F. A. Qazi, “Multistatic radar system based on accurate signature identification via micropositioning”, 2014 IEEE Radar Conference, pp.1414–1417, 2014.
    D. V. Gayvoronskiy and E. A. Danilchuk,“ Analysis of multiple-access interference for CDMA signals”, Young Researchers in Electrical and Electronic Engineering (EIConRus), 2017 IEEE Conference of Russian. pp.144–145, 2017.
    S. Moshavi, “Multi-user detection for DS-CDMA communications”, IEEE Communications Magazine, Vol.34, No.10, pp.124–136, 1996.
    Y. Shen,Y. Wang, Z. Peng, et al., “Multiple-access interference mitigation for acquisition of code-division multiple-access continuous-wave signals”, IEEE Communications Letters, Vol.21, pp.192–195, 2017.
    S. Verdu, “Minimum probability of error for asynchronous Gaussian multiple-access channels”, IEEE Transactions on Information Theory, Vol.32, pp.85–96, 1986.
    M. Zeybek and O. Ertug, “A maximum-likelihood bound approaching minimum bit error rate linear multiuser detector for frequency-selective DS-CDMA systems”, Aeu-International Journal of Electronics and Communications, Vol.68, No,2, pp.111–114, 2014.
    J. Yang and R. C. de Lamare, “Widely-linear minimummean-squared error multiple-candidate successive interference cancellation for multiple access interference and jamming suppression in direct-sequence code-division multiple-access systems”, IET Signal Processing, Vol.9, No.1, pp.73-81, 2015.
    G. S. Deepthy and R. J. Susan, “Analysis of successive interference cancellation in CDMA systems”, International Conference on Advanced Computing, pp.481–485, 2012.
    S. Sasipriya and C. S. Ravichandran, “Soft decision parallel interference cancellation for scrambled/unscrambled DSCDMA System”. International Journal of Computer Theory and Engineering, pp.877–881, 2010.
    Y. Xu,“ A new approach to multiuser detection based on improved immune-genetic algorithm”, International Conference on Intelligent Computing, pp.408-410, 2010.
    N. Zhao, Z. Wu, Y. Zhao, et al., “Population declining ant colony optimization multiuser detection in asynchronous CDMA communications”, Wireless Personal Communications, Vol.62, No.4, pp.783-792, 2012.
    M. Zubair, M. A. Choudhry, I. M. Qureshi, et al., “Multiuser detection using soft particle swarm optimization along with radial basis function”, Turkish Journal of Electrical Engineering and Computer Sciences, Vol.22, No.6, pp.1476–1483, 2014.
    J. Chang, “Robust blind multiuser detection based on PSO algorithm in the mismatch environment of receiver spreading codes”, Computers & Electrical Engineering, Vol.38, Nol.6, pp.1760–1767, 2012.
    N. Larbi, F. Debbat, A. B. Stambouli, et al., “Multiuser detection for DS-CDMA systems using honeybees mating optimization algorithm”, Arabian Journal for Science and Engineering, Vol.39, No.6, pp.4911–4921, 2014.
    X.H. Zhu, Z.W.Ni. et al., “Improved discrete artificial fish swarm algorithm combined with margin distance minimization for ensemble pruning”, Computers & Industrial Engineering, Vol.128, pp.32–46, 2019.
    J. Mu, X. Jing, H. Huang, et al., “Subspace-based method for spectrum sensing with multiple users over fading channel”, IEEE Communications Letters, Vol.22, No,4, pp.848–851, 2018.
    Q. Yu, C. Han, L. Bai, et al., “Low-complexity multiuser detection in millimeter-wave systems based on opportunistic hybrid beamforming”, IEEE Transactions on Vehicular Technology, Vol.67, No.10, pp.10129-10133, 2018.
    Y.J.Xia, G.L.Ren, et al., “Improved successive multiuser detection initial ranging algorithm with interference cancellation for orthogonal frequency division multiple access systems”, IET Communications, Vol.9, No.2, pp.177–183.
    Y. Du, C. Cheng, B. Dong, et al., “Block–sparsity-based multiuser detection for uplink grant-free NOMA”, IEEE Transactions on Wireless Communications, Vol.17, No.12, pp.7894–7909, 2018.
    Y. J. Huang, H. W. Tsao, H. T. Lin, et al., “A new scheme of TWSTFT receiver for multiple access interference suppression”, Precision Electromagnetic Measurements CPEM 2016, pp.1–2, 2016.
    Y. J. Huang, H. W. Tsao, H. T. Lin, et al., “Multiple access interference suppression for TWSTFT applications”, IEEE Transactions on Instrumentation and Measurement, Vol.66, No.6, pp.1337–1342, 2017.
    D.Y. Kong, H. Peng, et al., “Adaptive stochastic resonance method based on artificial fish swarm optimization”, Acta Electronica Sinica, Vol.45, No.8, pp.1864–1872, 2017. (in Chinese)
    Y. Yu, Z.F Yin and Y.F. Tian, “Multiuser detector based on adaptive artificial fish school algorithm”, Journal of Electronics & Information Technology,Vol.29, No.1, pp.121–124, 2007.
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