Wavelet-based Software-defined radios (SDRs), have become very important in both commercial as well as military applications that demand high Quality of Service (QoS) in hostile physical and spectral conditions. It could also be utilized in the vehicle to vehicle communication networks. This WD-based SDR is compose of a AMR and a modulation. This paper focus on the development of the WD-based Demodulation, which enables of obtaining original signal information by demodulation in the wavelet-domain without an inverse transform of a signal to its time-domain form. The development is proven analytically herein. Extensive Monte Carlo simulations also show that the Bit Error Rates (BERs) obtained from wavelet-based demodulation are very comparable with the optimal case of matched filter-based demodulation. The results of this work show the ability of wavelet transforms to enable the demodulation of communications signals in a single processing sequence by solely using the computationally-friendly mathematics of the Discrete Wavelet Transform.


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    Title :

    Wavelet-Based Demodulation Design for Vehicular Communication Network


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Ge, Yao (author) / Shu, Zhan (author) / Daut, David (author)

    Conference:

    Society of Automotive Engineers (SAE)-China Congress ; 2016 ; Shanghai, China October 26, 2016 - October 28, 2016



    Publication date :

    2017-03-08


    Size :

    22 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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