Abstract
Complex-valued and non-constant modulus signals are widely used in modern high-speed underwater acoustic communication systems. Based on this environment, a complex-valued blind equalization algorithm using feedforward neural network is brought forward. Aiming at the defects that traditional constant modulus equalization algorithm can’t rectify the phase deflection, the cost function is reformed and also a new modified constant modulus algorithm is given. Besides, the new algorithm is improved by introducing the square decision technique to achieve better convergence speed and less gurgitation. The results of simulation show that this new equalization algorithm not only has the ability of phase self-amending, but also performs better than traditional algorithm in the ability and speed of convergence in high order QAM communication systems.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kilfoyle, D.B., Baggeroer, A.B.: The State of the Art in Underwater Acoustic Telemetry. IEEE. J. Oceanic Eng. 25, 6–25 (2000)
Cheolwoo, Y., Daesik, H.: Nonlinear Blind Equalization Schemes Using Complex-valued Multilayer Feed forward Neural Networks. IEEE Trans. on Signal Processing 9, 1442–1455 (1998)
Zheng, Y.Q., Li, P., Zhang, Z.R.: Dual-mode Blind Equalization Algorithm for Multi-level QAM Modulation Based on Sign-CMA. Journal of China Institute of Communication 25, 155–159 (2004)
Cybeako, G.: Approximations by Superposition of a Sigmoidal Function. Math. Control System Signals 2, 303–314 (1989)
Chatha, H.S., Kumar, A., Bahl, R.: Simulation Studies of Underwater Communication System in Shallow Oceanic Channel. In: Oceans 2002 MTS/IEEE, vol. 4, pp. 2401–2408 (2002)
Johnson, J., Schniter, P., Endres, J.T.: Blind Equalization Using the Constant Modulus Criterion. A Review Proceedings of the IEEE 10, 1927–1949 (1998)
Gomes, J., Barroso, V.: Blind Decision-feedback Equalization of Underwater Acoustic Channels. In: Oceans 1998 Conference Proceedings, vol. 2, pp. 810–819 (1998)
Mgeorgiou, G., Koutsougeras, C.: Complex Domain Backpropagation. IEEE Trans. on Circuits and System 39, 330–334 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Luo, Y., Liu, Z., Peng, P., Fu, X. (2009). Phase Self-amending Blind Equalization Algorithm Using Feedforward Neural Network for High-Order QAM Signals in Underwater Acoustic Channels. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_59
Download citation
DOI: https://doi.org/10.1007/978-3-642-01513-7_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01512-0
Online ISBN: 978-3-642-01513-7
eBook Packages: Computer ScienceComputer Science (R0)