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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2017

05.11.2016

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

verfasst von: Xue-Yuan Hao, Xiao-Hong Yan, Jing Zhao

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

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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.
Vorheriger Artikel Improvement of Positioning Technology Based on RSSI in ZigBee Networks
Nächster Artikel Wireless Sensor Network for Multi-channel 3D Data Synchronizing Acquisition System and Visual Simulation Research

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Metadaten
Titel
A New Equalization Algorithms for Distortion Signal Extraction in Mobile Wireless System
verfasst von
Xue-Yuan Hao
Xiao-Hong Yan
Jing Zhao
Publikationsdatum
05.11.2016
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3869-5

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