5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings

Research Article

Expectation Maximization for Multipath Detection in Wideband Signals

  • @INPROCEEDINGS{10.1007/978-3-319-72823-0_13,
        author={Salem Salem and Mohamed El-Tarhuni},
        title={Expectation Maximization for Multipath Detection in Wideband Signals},
        proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings},
        proceedings_a={5GWN},
        year={2018},
        month={1},
        keywords={Expectation Maximization Delay estimation Wideband signals},
        doi={10.1007/978-3-319-72823-0_13}
    }
    
  • Salem Salem
    Mohamed El-Tarhuni
    Year: 2018
    Expectation Maximization for Multipath Detection in Wideband Signals
    5GWN
    Springer
    DOI: 10.1007/978-3-319-72823-0_13
Salem Salem1, Mohamed El-Tarhuni2,*
  • 1: Phoenicia University
  • 2: American University of Sharjah
*Contact email: mtarhuni@aus.edu

Abstract

In this paper, a new technique for delay estimation of multipath components in wideband communication systems is proposed. The proposed scheme uses the Expectation Maximization algorithm at the output of an energy detector in order to separate the multipath components from the noise components. The proposed scheme provides comparable performance to the conventional scheme based on maximum energy detector in terms of detection probability. However, it has two major advantages over the conventional scheme that make it more attractive in practical applications. Firstly, the proposed scheme does not require prior knowledge of the number of multipath components; and, secondly, it does not need to use a threshold to decide on the presence or absence of multipath components.