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Balanced Orthogonal Multi-Wavelet Blind Equalization Algorithm Based on Coordinate Transformation

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Information and Automation (ISIA 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 86))

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Abstract

Aiming at the defect of not suitable for using Constant Modulus Algorithm(CMA) to equalize nonconstant modulus higher-order QAM signals, on the basis of analyzing coordinate transformation(CT) and multi-wavelet transformation, a balanced orthogonal Multi-Wavelet Transformation blind equalization algorithm based on Coordinate Transformation and CMA(CT-MWTCMA) is proposed. In this proposed algorithm, first, nonconstant modulus 16QAM signals are transformed into constant modulus 4QAM via coordinate transformation method to be equalized via using blind equalization algorithm based on CMA, second, input signals of equalizer is transformed via multi-wavelet function to reduce its autocorrelation. Accordingly, the proposed algorithm has fast convergence rate and small mean square error comparison with orthogonal wavelet transformation blind equalization algorithm based on Coordinate Transformation and CMA(CT-WTCMA), and blind equalization algorithm based on Coordinate Transformation and CMA(CT-CMA).The advantages of CT-MWTCMA were presented by underwater acoustic channel simulation.

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© 2011 Springer-Verlag Berlin Heidelberg

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Guo, Y., Zhao, X. (2011). Balanced Orthogonal Multi-Wavelet Blind Equalization Algorithm Based on Coordinate Transformation. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_39

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  • DOI: https://doi.org/10.1007/978-3-642-19853-3_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19852-6

  • Online ISBN: 978-3-642-19853-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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