Piezo-Acoustic Backscatter (PAB), one type of near-zero power backscatter, is a new technology that realizes underwater communications. In this paper, we first describe the PAB node and the channel. Then we set up a signal transmission model and formulate the underwater channel estimation problem. Based on the sparse characteristics of the channel and compressed sensing theory, we use the gradient projection for sparse reconstruction (GPSR) algorithm to solve the underwater channel estimation problem and obtain the channel estimate. Simulation results prove that in the underwater PAB system, the GPSR algorithm offers better estimation accuracy than the traditional LS algorithm.


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    Title :

    Sparse Reconstruction Based Channel Estimation for Underwater Piezo-Acoustic Backscatter Systems


    Contributors:
    Hu, Guanjie (author) / Lin, Junliang (author) / Wang, Gongpu (author) / He, Ruisi (author) / Wei, Xusheng (author)


    Publication date :

    2021-04-01


    Size :

    1903190 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English