1st International ICST Conference on Mobile Wireless Middleware, Operating Systems and Applications

Research Article

Channel Estimation and Equalization for Fixed/Mobile OFDM WiMAX System in Simulink

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  • @INPROCEEDINGS{10.4108/ICST.MOBILWARE2008.2807,
        author={Onsy Abdel Alim and Nemat Elboghdadly and Mahmoud Ashour and Azza M. Elaskary},
        title={Channel Estimation and Equalization for Fixed/Mobile OFDM WiMAX System in Simulink},
        proceedings={1st International ICST Conference on Mobile Wireless Middleware, Operating Systems and Applications},
        publisher={ICST},
        proceedings_a={MOBILWARE},
        year={2010},
        month={5},
        keywords={WiMAX OFDM Channel Estimation Equalization Doppler Effect},
        doi={10.4108/ICST.MOBILWARE2008.2807}
    }
    
  • Onsy Abdel Alim
    Nemat Elboghdadly
    Mahmoud Ashour
    Azza M. Elaskary
    Year: 2010
    Channel Estimation and Equalization for Fixed/Mobile OFDM WiMAX System in Simulink
    MOBILWARE
    ICST
    DOI: 10.4108/ICST.MOBILWARE2008.2807
Onsy Abdel Alim1, Nemat Elboghdadly1, Mahmoud Ashour2, Azza M. Elaskary2,*
  • 1: Faculty of Engineering, Elect. Eng. Dept., Alexandria University, Egypt.
  • 2: National Center for Radiation Research and Technology (NCRRT), Egypt.
*Contact email: azza48@hotmail.com

Abstract

WiMAX (Worldwide Interoperability for Microwave Access) is a technology for wireless broadband and the core technique for the fourth-generation (4G) wireless mobile communications. However it still facing real challenge for low complexity and efficient system implementation. It supports non-line-of-sight environment with high data rate transmission and high mobility up to 125 Km/hr. WiMAX adopted OFDM/OFDMA in physical layer for fixed/mobile applications respectively. Integrated WiMAX model including Channel estimation and equalization are an active area for many recent researches. This paper presents a model for simulating OFDM WiMAX system in Simulink including channel estimation and equalization subsystems in MATLAB functions. Performance has been tested applying Additive White Gaussian Noise (AWGN) channel for fixed system and Doppler shifts due to changes in high and low relative velocity has been calculated and applied to the Simulink channel model for mobile system. Different iterative approaches for channel estimation and equalization have been modeled and evaluated. BER versus SNR curves at high and low Doppler shifts have been used for comparing these models.