A unified group-sparsity-based framework for wideband sparse spectrum fitting is proposed for wideband direction-of-arrival (DOA) estimation, which is capable of handling both uncorrelated and correlated sources. Then, by making four different assumptions on a priori knowledge about the sources, four variants under the proposed framework are formulated as solutions to the underdetermined DOA estimation problem without the need of employing sparse arrays. As verified by simulations, improved estimation performance can be achieved by the wideband methods compared with narrowband ones, and adopting more a priori information leads to better performance in terms of resolution capacity and estimation accuracy.


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    Title :

    Wideband DOA Estimation With Frequency Decomposition via a Unified GS-WSpSF Framework


    Contributors:
    Wang, Min (author) / Shen, Qing (author) / Liu, Wei (author) / Cui, Wei (author)


    Publication date :

    2024-04-01


    Size :

    1094983 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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