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    Article

    Distributed source DOA estimation based on deep learning networks

    With space electromagnetic environments becoming increasingly complex, the direction of arrival (DOA) estimation based on the point source model can no longer meet the requirements of spatial target location. ...

    Quan Tian, Ruiyan Cai, Gongrun Qiu, Yang Luo in Signal, Image and Video Processing (2024)

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    DOA estimation based on a deep neural network under impulsive noise

    As an important passive radio monitoring and positioning technology, direction-of-arrival (DOA) estimation has always been a key problem in theoretical research and practice, and many algorithms have been deve...

    Ruiyan Cai, Quan Tian, Yang Luo in Signal, Image and Video Processing (2024)

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    Article

    DMCE-FrPSD-Based Parameter Estimation Method for Bistatic MIMO Radar Under Alpha-Stable Distributed Noise

    Parameter estimation is an essential step for various MIMO radar applications and attracts the attention of many scholars. However, conventional methods typically model moving objects with a constant Doppler f...

    Jiang’an Dai, Tianshuang Qiu, Shengyang Luan in Circuits, Systems, and Signal Processing (2023)

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    Article

    A novel DOA estimation method for distributed sources in impulsive noise environments

    Direction of arrival (DOA) estimation has a wide range of applications in military and civilian fields. However, most methods are based on Gaussian noise assumptions. If the received signals contain impulsive ...

    Quan Tian, Ruiyan Cai in Signal, Image and Video Processing (2023)

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    Article

    Parameter estimation for coherently distributed noncircular sources under impulsive noise environments

    The signal source generates angular expansion in space due to scattering, reflection and other phenomena in a complex environment, which requires a distributed signal model for processing. This paper extends t...

    Lemeng Chao, Tianshuang Qiu, Quan Tian, **gchun Li in Signal, Image and Video Processing (2020)