Multiple-input–multiple-output (MIMO) sparse electromagnetic vector sensor (EMVS) arrays have brought new perspectives to signal processing due to their flexibility and higher resolution. In this study, we focus on angle estimation in a monostatic MIMO system using arbitrary geometry EMVS arrays. An improved parallel factor (PARAFAC)-based algorithm is introduced. By harnessing the natural multidimensional structure of the array output, we rearrange it into a PARAFAC model. The factor matrices are obtained using the complex parallel factor analysis (COMFAC), followed by applying vector cross-product (VCP)/phase compensation for rough/refined estimation. This approach achieves superresolution estimation while automatically pairing angles and showing low computational complexity. As a result, it outperforms existing algorithms, and numerical simulation experiments validate the improvements achieved by the proposed method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Phase Compensation-Based 2D-DOA Estimation for EMVS-MIMO Radar


    Contributors:
    Zhang, Zhe (author) / Shi, Junpeng (author) / Wen, Fangqing (author)


    Publication date :

    2024-04-01


    Size :

    834074 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    2D-DOD and 2D-DOA Estimation Using Sparse L-Shaped EMVS-MIMO Radar

    Wen, Fangqing / Shi, Junpeng / He, Jin et al. | IEEE | 2023


    Near-Field Target Localization for EMVS-MIMO Radar With Arbitrary Configuration

    Chen, Hua / Fang, Jiaxiong / Wang, Weilong et al. | IEEE | 2024


    EMVS-MIMO Radar With Sparse Rx Geometry: Tensor Modeling and 2-D Direction Finding

    Wang, Xianpeng / Guo, Yuehao / Wen, Fangqing et al. | IEEE | 2023


    Fast DOA Estimation Algorithm Based on Phase Coded MIMO Radar

    Zhao, Kailun / Liu, Jingping / Wu, Lei | IEEE | 2022


    MIMO RF COMPENSATION METHOD FOR RF CHAIN IMBALANCES IN MIMO RADAR

    GIL GYE TAE / SUH JUN SEUK / HONG SONG CHEOL et al. | European Patent Office | 2022

    Free access