65
Views
1
CrossRef citations to date
0
Altmetric
Communications

Turbo-Coded MIMO-OFDM Channel Estimation Using the Chaotic Grey Wolf Optimizer and Genetic Algorithm

ORCID Icon &

References

  • A. Mishra, A. K. Jagannatham, and L. Hanzo, “Sparse Bayesian learning-aided joint sparse channel estimation and ML sequence detection in space-time trellis coded MIMO-OFDM systems,” IEEE Trans. Commun., Vol. 68, no. 2, pp. 1132–1145, Nov. 2019.
  • S. Pyla, “Capacity and BER performance improvement in integrated MIMO-OFDM system using optimal power allocation, channel estimation, and turbo coding,” Int. J. Commun. Syst, Vol. 34, no. 14, pp. e4915, Sep. 2021.
  • K. Watanabe, S. Kojima, T. Akao, M. Katsuno, K. Maruta, and C. J. Ahn, “Modified pilot selection for channel estimation of systematic polar coded MIMO-OFDM,” ICT Express, Vol. 5, no. 4, pp. 276–279, Dec. 2019.
  • R. D. Agustin, I. G. Astawa, and A. Pratiarso, “Performance analysis of turbo coding implementation in MIMO based DVB-T2 system,” in 2020 International Electronics Symposium (IES) (pp. 179–183). IEEE. Sep. 2020.
  • B. Priyalakshmi, and K. Mahalakshmi, “Channel estimation and error correction for UWOC system with vertical non-line-of-sight channel,” Wirel. Netw., Vol. 26, no. 7, pp. 4985–4997, Oct. 2020.
  • W. Jiang, M. Yue, X. Yuan, and Y. Zuo, “Massive connectivity over MIMO-OFDM: joint activity detection and channel estimation With frequency selectivity compensation,” IEEE Trans. Wireless Commun., Vol. 21, no. 9, pp. 6920–6934, 2022.
  • M. N. Seyman, and N. Taspinar, “Radial basis function neural networks for channel estimation in MIMO-OFDM systems,” Arab. J. Sci. Eng., Vol. 38, no. 8, pp. 2173–2178, Aug.2013.
  • R. S. Ganesh, and J. Jayakumari, “An efficient pilot carrier channel estimation using genetic algorithm in MIMO-OFDM system,” ARPN J. Eng. Appl. Sci, Vol. 11, no. 9, pp. 5767–5772, Jan.2016.
  • F. H. Shajin, P. Rajesh, and S. Thilaha, “Bald eagle search optimization algorithm for cluster head selection with prolong lifetime in wireless sensor network,” J. Soft. Comput. Eng. Appl, Vol. 1, no. 1, pp. 7, Jan.2020.
  • P. Rajesh, F. H. Shajin, and K. Cherukupalli, “An efficient hybrid tunicate swarm algorithm and radial basis function searching technique for maximum power point tracking in wind energy conversion system,” J Eng Design Technol. Oct.2021.
  • F. H. Shajin, P. Rajesh, and M. R. Raja, “An efficient VLSI architecture for fast motion estimation exploiting zero motion prejudgment technique and a new quadrant-based search algorithm in HEVC,” Circuits Syst. Signal Process., Vol. 41, no. 3, pp. 1751–1774, Mar.2022.
  • P. Rajesh, F. H. Shajin, B. Rajani, and D. Sharma, “An optimal hybrid control scheme to achieve power quality enhancement in micro grid connected system,” Int. J. Numer. Model. Electron. Networks Devices Fields, Vol. 35, no. 6, pp. e3019, May 2022.
  • M. N. Seyman, and N. TaşPıNar, “Channel estimation based on neural network in space time block coded MIMO–OFDM system,” Digit. Signal. Process., Vol. 23, no. 1, pp. 275–280, Jan. 2013.
  • K. Vidhya, and K. R. Shankar Kumar, “Channel estimation of MIMO–OFDM system using PSO and GA,” Arab. J. Sci. Eng., Vol. 39, no. 5, pp. 4047–4056, May 2014.
  • M. N. Seyman, and N. Taşpinar, “Particle swarm optimization for pilot tones design in MIMO-OFDM systems,” EURASIP J. Adv. Sig. Process, Vol. 2011, no. 1, pp. 1–1, Dec. 2011.
  • K. Vidhya, and K. S. Kumar, “An intelligent channel estimation approach for MIMO-OFDM systems using meta-heuristic optimization algorithm,” Res. J. Appl. Sci. Eng. Technol, Vol. 7, no. 19, pp. 4079–4087, May 2014.
  • M. N. Seyman, and N. Taşpinar, “Optimization of pilot tones using differential evolution algorithm in MIMO-OFDM systems,” Turkish J. Elec. Eng. Comput. Sci, Vol. 20, no. 1, pp. 15–23, Jan. 2012.
  • K. Vidhya, and K. R. Shankar Kumar, “Channel estimation of Mimo-Ofdm using cuckoo search algorithm,” J. Theor. Appl. Inf. Technol, Vol. 55, no. 2, Sep. 2013.
  • W. Hu, F. Li, and Y. Jiang, “Phase rotations of SVD-based precoders in MIMO-OFDM for improved channel estimation,” IEEE Wireless Commun. Lett, Vol. 10, no. 8, pp. 1805–1809, May 2021.
  • M. N. Seyman, and N. Taşpınar, “Pilot tones optimization using artificial bee colony algorithm for MIMO–OFDM systems,” Wirel. Pers. Commun., Vol. 71, no. 1, pp. 151–163, Jul 2013.
  • M. N. Seyman, and N. TAŞPINAR, “Symbol detection using the differential evolution algorithm in MIMO-OFDM systems,” Turkish J. Elec. Eng. Comput. Sci, Vol. 21, no. 2, pp. 373–380, Jan 2013.
  • Z. Cai, J. Lou, J. Zhao, K. Wu, N. Liu, and Y. X. Wang, “Quadrotor trajectory tracking and obstacle avoidance by chaotic grey wolf optimization-based active disturbance rejection control,” Mech. Syst. Signal. Process., Vol. 128, pp. 636–654, Aug. 2019.
  • S. Katoch, S. S. Chauhan, and V. Kumar, “A review on genetic algorithm: past, present, and future,” Multimed. Tools. Appl., Vol. 80, no. 5, pp. 8091–8126, Feb. 2021.
  • A. Elnakeeb, and U. Mitra, “Bilinear channel estimation for MIMO OFDM: lower bounds and training sequence optimization,” IEEE Trans. Signal Process., Vol. 69, pp. 1317–1331, Feb 2021.
  • S. Nandi, N. Pathak, and A. Nandi, “A novel adaptive optimized fast blind channel estimation for cyclic prefix assisted space–time block coded MIMO-OFDM systems,” WirelPersCommun, Vol. 115, no. 2, pp. 1317–1333, Nov 2020.
  • R. Jeya, and B. Amutha, “Optimized semiblind sparse channel estimation algorithm for MU-MIMO OFDM system,” Comput. Commun., Vol. 146, pp. 103–109, Oct. 2019.
  • C. Venkateswarlu, and N. V. Rao, “Optimal channel estimation and interference cancellation in MIMO-OFDM system using MN-based improved AMO model,” J. Supercomput., Vol. 78, no. 3, pp. 3402–3424, Feb. 2022.
  • H. Li, W. Cai, Y. Liu, M. Li, Q. Liu, and Q. Wu, “Intelligent reflecting surface enhanced wideband MIMO-OFDM communications: from practical model to reflection optimization,” IEEE Trans. Commun., Vol. 69, no. 7, pp. 4807–4820, Mar. 2021.
  • L. U. Yasong, H. U. Shengliang, F. E. Chengxu, and T. O. Jijin, “Power optimization algorithm for OFDM underwater acoustic communication using adaptive channel estimation,” J. Syst. Eng. Electron., Vol. 30, no. 4, pp. 662–671, Sep. 2019.
  • M. Kohli, and S. Arora, “Chaotic grey wolf optimization algorithm for constrained optimization problems,” J. Comput. Design Eng, Vol. 5, no. 4, pp. 458–472, Oct. 2018.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.