Variable step size LMS equalization algorithm based on adaptivemixed-power parameter in underwater acoustic channels

被引：3
|
作者：
Ning, Xiao-Ling [1 ]
Zhang, Lin-Sen [2 ]
Liu, Zhi-Kun [1 ]
机构：
[1] Electronics Engineering College, Naval University of Engineering, Wuhan
[2] Department of Weaponry Engineering, Naval University of Engineering, Wuhan
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2015年 / 37卷 / 09期
关键词：
Channel equalization; Convergence speed; Least mean square (LMS) algorithm; Steady-state error; Underwater acoustic communication; Variable step size;
D O I：
10.3969/j.issn.1001-506X.2015.09.28
中图分类号：
学科分类号：
摘要：
An improved novel variable step size least mean square (VSS-XENLMS) adaptive filtering algorithm is proposed and it is applied to underwater acoustic equalization. A variable mixed-power parameter λk is introduced whose the time variation allows the algorithm to follow fast changes in the channel. The proposed algorithm overcomes the dependency on the selection of the mixing parameter λ, which has been by developed normanized least mean square (XENLMS) algorithm. The selecting about three factors α, β and μ and their influences to convergence ability are analysed. Computer simulations of the proposed algorithm about convergence ability are carried out respectively under two underwater acoustic channels, using two modulation signals. Simulation results demonstrate that the convergence speed of the proposed algorithm compared with that of XENLMS algorithm and the former variable step-size algorithms has been visibly increased, the convergence performance of the proposed algorithm is compared to that of recursive least square (RLS), but its computation complexity is far less RLS. Then, Mulan Lake experiment shows that the performance of the decision feedback equalization (DFE)-based the proposed algorithm (VSS-XENLMS-DFE) is better than that of the LMS-DFE algorithm in terms of bit error rate for an order of magnitude, which overcomes the effects of multipath and Doppler shift very well.
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收藏
页码：2141 / 2147
页数：6
相关论文
共 17 条
  • [1] Kilfoyle D.B., Baggeroer A.B., The state of the art in underwater acoustic telemeiry, IEEE Journal of Oceanic Engineering, 25, 1, pp. 4-27, (2000)
  • [2] Istepanion R.S.H., Stojanovic M., Under-water acoustic digital signal processing and communication systems, pp. 4-16, (2002)
  • [3] Goalic A., Toward a digital acoustic underwater phone, Proc. of the Marine Technology Society/IEEE Oceans Conference, pp. 489-494, (1994)
  • [4] Abdaoui A., Laot C., Blind DFE based on NLMS algorithm with generalized normalized gradient descent regularization, Proc. of the Oceans, Marine Technology Society/IEEE Biloxi-Marine Technology for Our Future: Global and Local Challenges, pp. 123-127, (2009)
  • [5] Zhao L., Zhu W.Q., Zhu M., An adaptive equalization algorithm for underwater acoustic coherent communication system, Journal of Electronics & Information Technology, 30, 3, pp. 648-651, (2008)
  • [6] Geller B., Capellano V., Jourdain G., Equalizer for real time high rate transmission in underwater communications, Proc. of the International Conference on Acoustics, Speech, and Signal Processing, pp. 3179-3182, (1995)
  • [7] Ning X.L., Liu Z., Luo Y.S., Et al., Fast convergence adaptive equalization algorithm for underwater acoustic channels, Systems Engineering and Electronics, 32, 12, pp. 2524-2527, (2010)
  • [8] Pelekanakis K., Chitre M., Comparison of sparse adaptive filters for underwater acoustic channel equalization/estimation, Proc. of the IEEE International Conference on Communication Systems, pp. 395-399, (2010)
  • [9] Gupta A., Joshi S., Variable step-size LMS algorithm for fractal signals, IEEE Trans. on Signal Processing, 56, 4, pp. 1411-1420, (2008)
  • [10] Zhao S., Man Z., Khoo S., Et al., Variable step-size LMS algorithm with a quotient form, Signal Processing, 89, 1, pp. 67-76, (2009)
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