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The Scientific World Journal
Volume 2014, Article ID 572969, 9 pages
http://dx.doi.org/10.1155/2014/572969
Research Article

An Improved Proportionate Normalized Least-Mean-Square Algorithm for Broadband Multipath Channel Estimation

Graduate School of Engineering, Kochi University of Technology, Kami-shi 782-8502, Japan

Received 27 December 2013; Accepted 19 February 2014; Published 20 March 2014

Academic Editors: H. R. Karimi, X. Yang, Z. Yu, and W. Zhang

Copyright © 2014 Yingsong Li and Masanori Hamamura. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [20 citations]

The following is the list of published articles that have cited the current article.

  • Yanyan Wang, Yingsong Li, and Zhan Jin, “An improved reweighted zero-attracting NLMS algorithm for broadband sparse channel estimation,” 2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT), pp. 208–213, . View at Publisher · View at Google Scholar
  • Felix Albu, Ion Caciula, Yingsong Li, and Yanyan Wang, “The ℓp]]>-norm proportionate normalized least mean square algorithm for active noise control,” 2017 21st International Conference on System Theory, Control and Computing (ICSTCC), pp. 396–400, . View at Publisher · View at Google Scholar
  • Faraz Talebpour, Pooria Varahram, Borhanuddin b. Mohd. Ali, and A. Sali, “Compensation of frequency independent I/Q imperfections using LMS algorithm,” 2014 IEEE 2nd International Symposium on Telecommunication Technologies (ISTT), pp. 352–356, . View at Publisher · View at Google Scholar
  • Yuting Zhao, Yingsong Li, and Xiaojun Mao, “Sparse-aware least sum of exponentials algorithms for sparse system identification,” 2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), pp. 266–270, . View at Publisher · View at Google Scholar
  • Yanyan Wang, Yingsong Li, and Fanping Shi, “A joint-optimization NLMS algorithm with linear function approximation penalty for sparse channel estimation,” 2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), pp. 2140–2144, . View at Publisher · View at Google Scholar
  • Solomon Nunoo, Uche A.K. Chude-okonkwo, and Razali Ngah, “Sparsity-constraint LMS algorithms for time-varying UWB channel estimation,” Research Journal of Applied Sciences, Engineering and Technology, vol. 8, no. 24, pp. 2408–2415, 2014. View at Publisher · View at Google Scholar
  • Yanyan Wang, Yingsong Li, and Tao Jiang, “Sparse channel estimation based on a p-norm-like constrained least mean fourth algorithm,” 2015 International Conference on Wireless Communications and Signal Processing, WCSP 2015, 2015. View at Publisher · View at Google Scholar
  • Yingsong Li, Yanyan Wang, and Tao Jiang, “Sparse-aware set-membership NLMS algorithms and their application for sparse channel estimation and echo cancelation,” AEU - International Journal of Electronics and Communications, vol. 70, no. 7, pp. 895–902, 2016. View at Publisher · View at Google Scholar
  • Yingsong Li, Chaozhu Zhang, and Shigang Wang, “Low-Complexity Non-Uniform Penalized Affine Projection Algorithm for Sparse System Identification,” Circuits Systems And Signal Processing, vol. 35, no. 5, pp. 1611–1624, 2016. View at Publisher · View at Google Scholar
  • Yingsong Li, Yanyan Wang, and Tao Jiang, “Norm-adaption penalized least mean square/fourth algorithm for sparse channel estimation,” Signal Processing, vol. 128, pp. 243–251, 2016. View at Publisher · View at Google Scholar
  • Guan Gui, and Tingping Zhang, “Convergence analysis of RL1-SLMS-based robust adaptive sparse channel estimation,” 2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016, 2016. View at Publisher · View at Google Scholar
  • Yingsong Li, Yanyan Wang, and Zhan Jin, “An improved zero-attracting normalized least mean square algorithm for sparse channel estimation,” 2016 Progress In Electromagnetics Research Symposium, PIERS 2016 - Proceedings, pp. 5001–5005, 2016. View at Publisher · View at Google Scholar
  • Zhan Jin, Yingsong Li, Yanyan Wang, and Rui Yang, “A robust sparse adaptive filtering algorithm with a correntropy induced metric constraint for broadband multi-path channel estimation,” Entropy, vol. 18, no. 10, 2016. View at Publisher · View at Google Scholar
  • Yanyan Wang, and Yingsong Li, “Norm Penalized Joint-Optimization NLMS Algorithms for Broadband Sparse Adaptive Channel Estimation,” Symmetry, vol. 9, no. 8, pp. 133, 2017. View at Publisher · View at Google Scholar
  • Zhan Jin, Yingsong Li, and Yanyan Wang, “An Enhanced Set-Membership PNLMS Algorithm with a Correntropy Induced Metric Constraint for Acoustic Channel Estimation,” Entropy, vol. 19, no. 6, pp. 281, 2017. View at Publisher · View at Google Scholar
  • Yingsong Li, Yanyan Wang, Felix Albu, and Jingshan Jiang, “A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification,” Symmetry, vol. 9, no. 10, pp. 229, 2017. View at Publisher · View at Google Scholar
  • Yingsong Li, Yanyan Wang, Rui Yang, and Felix Albu, “A Soft Parameter Function Penalized Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification,” Entropy, vol. 19, no. 1, pp. 45, 2017. View at Publisher · View at Google Scholar
  • Yingsong Li, Zhan Jin, and Yanyan Wang, “Adaptive Channel Estimation Based on an Improved Norm-Constrained Set-Membership Normalized Least Mean Square Algorithm,” Wireless Communications and Mobile Computing, vol. 2017, pp. 1–8, 2017. View at Publisher · View at Google Scholar
  • Yanyan Wang, and Yingsong Li, “Sparse Multipath Channel Estimation Using Norm Combination Constrained Set-Membership NLMS Algorithms,” Wireless Communications and Mobile Computing, vol. 2017, pp. 1–10, 2017. View at Publisher · View at Google Scholar
  • Zhan Jin, Yingsong Li, and Jianming Liu, “An Improved Set-Membership Proportionate Adaptive Algorithm for a Block-Sparse System,” Symmetry, vol. 10, no. 3, pp. 75, 2018. View at Publisher · View at Google Scholar