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A New Equalization Algorithms for Distortion Signal Extraction in Mobile Wireless System

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Abstract

In the high-speed mobile wideband communication system, motions of receivers, transmitters or wireless environments generate Doppler frequency. The Doppler effect and instantaneous fading frequency induces serious waveform distortion in the received signal. To solve these problems, the paper presents an improved equalization model, the new model combines the Bayesian detector and decision feedback equalizer (DFE) to form a new effective BDFE structure, which is superior to traditional equalization structure in the mobile environment. Further, a new algorithm is given to achieve faster convergence and smaller steady-state error, the new algorithm take Marr function as a basis function, and two parameters shape the profile of function, with the simulation tool, the optimization values are obtained for the new model and algorithm. The experimental results show that the new algorithm can improve the output SNR up to 6 dB gain with the new BDFE model.

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Acknowledgements

This work was supported by the National Research Foundation of China grant funded by the China government (11374162) and University Natural Science Project (TJ215009), Nanjing University of Posts and Telecommunications research project (NY215162).

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Authors and Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, 210023, China

    Xue-Yuan Hao & Xiao-Hong Yan

  2. Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Jing Zhao

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  1. Xue-Yuan Hao
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Correspondence to Xue-Yuan Hao.

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Hao, XY., Yan, XH. & Zhao, J. A New Equalization Algorithms for Distortion Signal Extraction in Mobile Wireless System. Wireless Pers Commun 95, 1963–1980 (2017). https://doi.org/10.1007/s11277-016-3869-5

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