Modern radar detection faces an increasingly complex electromagnetic environment, and strong clutter and strong jamming have severely restricted radar performance. This article proposes a robust jamming suppression method that is based on the joint generalized inner product (JGIP) method in a distributed array radar, which utilizes the characteristics of the extremely high angular resolution of the distributed array radar to effectively suppress main lobe jamming. Thus, the advantages of flexible aperture synthesis of distributed array radar are investigated to design a JGIP to detect targets in a cluttered environment. This method is not sensitive to the various nonideal factors that exist in distributed array radar engineering practice and is highly robust. Simulation and actual measured data verify the correctness and effectiveness of the proposed method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Joint Generalized Inner Product Method for Main Lobe Jamming Suppression in Distributed Array Radar


    Contributors:
    Pu, Weiming (author) / Liang, Zhennan (author) / Wu, Jianxin (author) / Liu, Quanhua (author)


    Publication date :

    2023-10-01


    Size :

    4012736 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Main-Lobe Jamming Suppression Method of using Spatial Polarization Characteristics of Antennas

    Huanyao Dai, / Xuesong Wang, / Yongzhen Li, et al. | IEEE | 2012


    Main Lobe Deception Jamming Suppression Approach via SVD and FrFT for LFM Radars

    Lei, Zhenshuo / Qu, Qizhe / Zhang, Liang et al. | IEEE | 2024


    Jamming Against Phased Array Radar

    Zhang, Xixiang / Xiao, Kaiqi / Gu, Jie | Springer Verlag | 2022


    Radar Jamming Suppression using Clipping Based Pulse Integration

    Ahmed, Sohail / Abbasi, Furqan / Ahmed, Usman Iqbal | IEEE | 2018


    Fast Repeater Deception Jamming Suppression With DFI-FDA-MIMO Radar

    Liu, Feilong / Zhu, Shengqi / Xu, Jingwei et al. | IEEE | 2024