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HUANG Heguo, YIN Liyuan, ZHANG Renli, et al. Joint space-polarization jamming suppression algorithm based on dimensional decomposition for digital array antenna[J]. Journal of Radars, in press. doi: 10.12000/JR25120
Citation: HUANG Heguo, YIN Liyuan, ZHANG Renli, et al. Joint space-polarization jamming suppression algorithm based on dimensional decomposition for digital array antenna[J]. Journal of Radars, in press. doi: 10.12000/JR25120
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Joint Space-polarization Jamming Suppression Algorithm Based on Dimensional Decomposition for Digital Array Antenna

DOI: 10.12000/JR25120 CSTR: 32380.14.JR25120

  • School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Funds:  The National Natural Science Foundation of China (61971224)
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  • Corresponding author: ZHANG Renli, zhangrenli_nust@163.com
  • Received Date: 2025-07-01
  • Rev Recd Date: 2025-11-26
    • Available Online: 2025-12-03
    Abstract
  • To address beam pattern distortion and monopulse angle estimation precision degradation associated with adaptive beamforming processing in the presence of mainlobe self-defense or escort jamming, a joint space-Polarization Jamming Suppression algorithm based on Dimensional Decomposition (SPJS-DD) is proposed for digital phased array antennas. In SPJS-DD, the orthogonality between the spatial array steering vectors in the azimuth and elevation dimensions of a dual-polarized rectangular planar array antenna is derived first. The azimuth and elevation dimensions of the rectangular array are then alternately selected as the Angle Estimation Dimension (AED), with the other serving as the Non-Angle Estimation Dimension (NAED). The adaptive beamforming process in SPJS-DD is divided into two stages. The first-stage processing is applied in the NAED, where mainlobe jamming is adaptively suppressed using the degrees of freedom available in the joint spatial-polarized domain subject to a constraint on the desired steering direction. In the second stage, quiescent sum and difference weights are applied in the AED to preserve the monopulse beam pattern required for accurate angle estimation. Through this two-stage decomposition, SPJS-DD suppresses mainlobe jamming in the NAED while maintaining an undistorted monopulse beam pattern in the AED. Simulation results verify that the proposed SPJS-DD method effectively suppresses mainlobe jamming and achieves high-precision angle estimation.

     

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