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Port and radiation pattern decoupled metasurface-loaded patch antenna using deep-learning-assisted optimization for MIMO applications
Regular Papers | Updated：2025-11-18

    • Port and radiation pattern decoupled metasurface-loaded patch antenna using deep-learning-assisted optimization for MIMO applications

      Enhanced Publication
    • 面向MIMO应用的深度学习辅助优化端口和辐射方向图解耦的超表面加载贴片天线
    • “In the field of antenna technology, a metasurface-loaded 1×2 patch array antenna is proposed, which uses a deep-learning optimization method to enhance isolation among elements in MIMO systems. Expert researchers established an artificial neural network and particle swarm optimization algorithm to optimize the antenna structure, achieving port and radiation pattern decoupling simultaneously. This lays a foundation for the construction of high-performance MIMO antenna systems.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 10, Pages: 2030-2040(2025)

    • DOI：10.1631/FITEE.2500119    

      CLC： TN82

    • Received：25 February 2025，

      Revised：2025-06-20，

      Published：2025-10

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  • Gu LIU, Jiajiang SHEN, Lei MA, et al. Port and radiation pattern decoupled metasurface-loaded patch antenna using deep-learning-assisted optimization for MIMO applications[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 2030-2040. DOI： 10.1631/FITEE.2500119.

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