【摘要】 复杂的服役环境会导致相控阵雷达阵面产生变形，降低雷达的探测威力。随着有源相控阵天线向着大口径、高频段、高增益方向不断发展，结构变形对雷达性能的影响更为严重。因此要保障雷达天线“看”得更清、“看”得更准，需要实时感知阵面状态以弥补天线电性能的损失。本文针对高频段大口径陆基有源相控阵天线，提出了基于随机配置网络（Stochastic Configuration Networks, SCNs）的阵面变形重构算法。首先，对大口径陆基有源相控阵天线的结构进行了分析，指出导致天线结构变形的主要因素以及结构变形对电性能的影响机理；然后，基于SCNs建立有源相控阵天线阵面变形重构模型；最后，通过大量实验数据揭示结构应变与位移的隐性关系，验证所提出的方法满足高频段天线阵面高精度重构要求。更多还原

【Abstract】 Complex service environments can cause the array surface of phased array radar to deform and thus reduce the detection power of the radar. With the continuous development of active phased array antennas towards large apertures, high frequencies and high gains, the influence of structural deformation on radar performance is more severe. Therefore, to ensure that the radar antenna can “see” more clearly and accurately, it is necessary to sense the array surface state in real time to compensate for the loss of antenna electrical performance. This paper proposes an array surface deformation reconstruction algorithm based on SCNs for high-frequency large-aperture land-based active phased array antennas. Firstly, the structure of the large-aperture land-based active phased array antenna is analyzed, and the main factors causing antenna structure deformation and the influence mechanism of structural deformation on electrical performance are pointed out. Then, an array surface deformation reconstruction model for active phased array antenna is established based on SCNs. Finally, the implicit relationship between structural strain and displacement is revealed through a large amount of experimental data, verifying that the proposed method meets the high-precision reconstruction requirements of the array surface of high-frequency antennas.更多还原