CMA Blind Equalization with Quasi-Newton Algorithm in Underwater Acoustic Channels Based on Simplified Cost Function

Article Preview

Abstract:

The CMA cost function is simplified to meet the second norm form, and a new CMA blind equalization based on quasi-newton algorithm is proposed. Since the CMA cost function does not meet the second norm form, it is difficult to use quasi-newton algorithm to update the blind equalizer directly based on the cost function of CMA. If the cost function is simplified to meet the second norm form, it can use quasi-newton algorithm to update the blind equalizer directly. Thus, the convergence rate and convergence precision of CMA blind equalization can be improved effectively. Simulation results under the acoustic channels show that CMA blind equalization with quasi-newton algorithm based on the simplified cost function has faster convergence rate and less steady state residual error, which has practical value in the blind equalization of fast time-varying underwater acoustic channels

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

1865-1868

Citation:

Online since:

July 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Pincemin Erwan, Brochier Nicolas, Selmi Mehrez, Chahabi Omid Zia, Ciblat Philippe. Novel blind equalizer for coherent DP-BPSK transmission systems: Theory and experiment [J]. IEEE Photonics Technology Letters. 2013, 25(18): 1835-1838.

DOI: 10.1109/lpt.2013.2277604

Google Scholar

[2] Xiao Ying, Yin Fuliang. T/4 fractionally spaced decision feedback blind equalization with RLS algorithm [J]. Telkomnika. 2013, 11(6): 2948-2955.

DOI: 10.11591/telkomnika.v11i6.2156

Google Scholar

[3] Shin Won-Hwa, Jun Young-Hyun, Kong Bai-Sun. Blind-oversampling adaptive oversample-level DFE receiver for unsynchronized global on-chip serial links [J]. IEICE Electronics Express. 2013, 10(9): 1-6.

DOI: 10.1587/elex.10.20120830

Google Scholar

[4] Li Changrong, Wu Di. Simulation study on blind equalization algorithm for underwater acoustic channels [J]. Computer Simulation. 2013, 30(7): 183-186.

Google Scholar

[5] Xie Ning, Hu Hengyun, Wang Hui. A new hybrid blind equalization algorithm with steady-state performance analysis [J]. Digital Signal Processing: A Review Journal. 2012, 22(2): 233-237.

DOI: 10.1016/j.dsp.2011.11.007

Google Scholar