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Multifunctional Inverse Topological Design for Reconfigurable Frequency-Selective Absorbers 可重构频率选择吸波器的多功能逆拓扑设计
IF 5.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-24 DOI: 10.1109/TAP.2025.3634238
Hao Lv;Li-Ye Xiao;Zhao-Qing Xu;Wei Shao
The design of reconfigurable frequency-selective absorbers (FSAs) presents a multifunctional optimization challenge. In this communication, a machine learning-based multifunctional inverse topological design method (MF-ITDM) is proposed for efficient and convenient design of reconfigurable FSAs. This method leverages the strengths of inverse design, topological modeling, and machine learning to simultaneously consider all desired absorption bands and rapidly generate corresponding FSA structures with high degrees of freedom (DoFs). Two numerical examples of reconfigurable FSAs with varying numbers of objectives are used to validate the effectiveness of the proposed MF-ITDM, as a powerful design tool for the reconfigurable FSA on the basis of high DoFs. Additionally, the performance of the designed reconfigurable FSAs is experimentally verified by measuring the fabricated topological structures.
可重构频率选择吸收器(FSAs)的设计面临着多功能优化的挑战。本文提出了一种基于机器学习的多功能逆拓扑设计方法(MF-ITDM),用于高效、方便地设计可重构fsa。该方法利用逆设计、拓扑建模和机器学习的优势,同时考虑所有所需的吸收带,并快速生成具有高自由度(DoFs)的相应FSA结构。两个具有不同目标数的可重构FSA的数值示例验证了所提出的MF-ITDM作为基于高自由度的可重构FSA的强大设计工具的有效性。此外,通过测量制造的拓扑结构,实验验证了所设计的可重构fsa的性能。
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引用次数: 0
Multiconstraint Evolutionary Algorithm Based on Decomposition for the Synthesis of Concentric Ring Sparse Array 基于分解的多约束进化算法合成同心圆稀疏阵列
IF 5.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-24 DOI: 10.1109/TAP.2025.3634162
Zeyang Jin;Ronghong Jin;Tingting Fan;Junping Geng;Yuxuan Zhao;Xue-Xia Yang
For the local convergence phenomenon in the multiobjective evolutionary algorithm based on decomposition (MOEA/D) when applied to multiconstraint sparse array optimization, a multiconstraint evolutionary algorithm based on decomposition (MCEA/D) is proposed in this communication. Unlike MOEA/D, which constructs subproblems through weighted aggregation of multiple objectives, MCEA/D converts objective functions into constraints while retaining a single objective function, generating subproblems via constraint value space decomposition. Consequently, MCEA/D performs optimization within different constraint subspaces, with each subproblem operating in its own search space. This novel approach effectively mitigates the diversity loss and premature convergence issues of MOEA/D caused by the shared search space among subproblems. The results of uniformly excited concentric ring sparse array (CRSA) optimization demonstrate that MCEA/D can successfully identify feasible Pareto fronts (PFs), outperforming MOEA/D algorithm in this capability. Electromagnetic simulations validate the results.
针对基于分解的多目标进化算法(MOEA/D)应用于多约束稀疏阵列优化时存在的局部收敛现象,提出了一种基于分解的多约束进化算法(MCEA/D)。与MOEA/D通过多个目标的加权聚合构造子问题不同,MCEA/D在保留单个目标函数的同时,将目标函数转化为约束,通过约束值空间分解生成子问题。因此,MCEA/D在不同的约束子空间中执行优化,每个子问题在自己的搜索空间中运行。该方法有效地缓解了由于子问题间共享搜索空间而导致的MOEA/D算法的多样性损失和过早收敛问题。均匀激励同心环稀疏阵列(CRSA)优化结果表明,MCEA/D算法能够成功识别可行的Pareto front (PFs),优于MOEA/D算法。电磁仿真验证了结果。
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引用次数: 0
Density-Based Topology Optimization for Characteristic Modes Manipulation 基于密度的特征模式操作拓扑优化
IF 5.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-24 DOI: 10.1109/TAP.2025.3634174
Jonas Tucek;Miloslav Capek;Lukas Jelinek
A novel framework is presented that combines density-based topology optimization with characteristic mode analysis to directly optimize the eigenvalues of conducting surfaces. The density formulation enables the application of adjoint sensitivity analysis, which provides efficient computation of material gradients for local updates of the continuous material distribution. The proposed approach allows optimization of modal quantities, e.g., eigenvalues, while maintaining a natural separation between geometry design and excitation synthesis inherent to modal analysis. The framework’s properties and performance are illustrated through several examples, including single-mode resonance control and multimode optimization.
提出了一种将基于密度的拓扑优化与特征模态分析相结合的新框架,直接优化导电表面的特征值。密度公式可以应用伴随灵敏度分析,为连续材料分布的局部更新提供有效的材料梯度计算。所提出的方法允许优化模态量,例如特征值,同时保持几何设计和模态分析固有的激励综合之间的自然分离。通过单模谐振控制和多模优化等实例说明了该框架的特性和性能。
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引用次数: 0
Wideband Patch Antenna Using Higher Order Modes for SAR Touch Compliant Indoor MIMO Base Stations 基于高阶模态的室内MIMO基站宽带贴片天线
IF 5.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-24 DOI: 10.1109/TAP.2025.3634133
Wenfu Fu;Stanislav Stefanov Zhekov;Bo Xu;Carla Di Paola;Sailing He
A multimode wideband patch antenna is proposed for indoor base stations (BSs), with the antenna achieving a wide impedance bandwidth and the equipment realizing specific absorption rate (SAR) touch compliance with 0.375-W time-averaged accepted power from 3.4 to 3.8 GHz. For comparison, a narrowband canonical fundamental-mode patch antenna allows only 0.11 W under the same conditions for touch compliance. The wide bandwidth of the proposed antenna is achieved by combining three even modes excited at close frequencies. The use of even modes results in split SAR maxima and thus lower SAR levels compared to odd modes to achieve touch compliance. To further prove the applicability of the antenna, its performance is evaluated using power-dependent multiplexing efficiency based on indoor channel models. The proposed design demonstrates superior performance, e.g., 4.9–6.0 times higher median levels of the power-dependent multiplexing efficiency in various scenarios, over the canonical patch antenna.
提出了一种用于室内基站的多模宽带贴片天线,该天线实现了较宽的阻抗带宽,设备实现了比吸收率(SAR)触控,时间平均接受功率在3.4 ~ 3.8 GHz范围内为0.375 w。相比之下,在相同条件下,窄带规范基模贴片天线只允许0.11 W的触摸顺应性。该天线的宽带是通过结合三个在近频率激发的均匀模式来实现的。偶数模式的使用导致分割SAR最大值,因此与奇数模式相比,较低的SAR水平,以实现触摸依从性。为了进一步证明该天线的适用性,利用基于室内信道模型的功率相关复用效率对其性能进行了评估。所提出的设计展示了优越的性能,例如,在各种场景下,与标准贴片天线相比,功率相关复用效率的中位数水平提高了4.9-6.0倍。
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引用次数: 0
A Spectral Integral Method for Nonsmooth Multilayered Composite Bodies of Revolution 非光滑多层复合公转体的谱积分法
IF 5.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-21 DOI: 10.1109/TAP.2025.3632914
Huimin Kang;Chunhui Zhu;Yu-Ke Li;Jun Hu;Qing Huo Liu
A new spectral integral method (SIM) based on divergence-conforming Gauss–Lobatto–Legendre (GLL) polynomials is proposed to solve the electromagnetic scattering problem for 3-D nonsmooth multilayered composite bodies of revolution (BoRs). The method is based on the mixed-order divergence conforming vector basis functions that have spectral accuracy. Unlike the conventional BoR-SIM with fast Fourier transform (FFT) acceleration, this new BoR-SIM can solve the problem of smooth as well as nonsmooth objects by incorporating the higher order basis functions and pole boundary conditions. Furthermore, the Poggio–Miller–Chang–Harrington–Wu–Tsai (PMCHWT) surface integral equation (SIE) is utilized alongside the method to avoid resonance difficulties when dealing with wideband scattering from multilayered BoRs with arbitrary shapes. Numerical examples are tested to verify and show the improvements in accuracy and efficiency. The results are compared with those of commercial software FEKO and the conventional BoR method. Its practical applicability is demonstrated by modeling multilayered objects with a perfect electric conductor (PEC) parabolic antenna in a radome. All numerical results show that the BoR-SIM is an efficient alternative to other BoR methods for scattering problems.
针对三维非光滑多层复合公转体(BoRs)的电磁散射问题,提出了一种基于散度符合的Gauss-Lobatto-Legendre多项式的谱积分方法。该方法基于具有谱精度的混合阶散度一致性向量基函数。与传统的具有快速傅里叶变换(FFT)加速的BoR-SIM不同,这种新型BoR-SIM通过结合高阶基函数和极点边界条件来解决光滑和非光滑物体的问题。此外,该方法还利用了Poggio-Miller-Chang-Harrington-Wu-Tsai (PMCHWT)表面积分方程(SIE)来避免处理任意形状的多层BoRs的宽带散射时的共振困难。数值算例验证了该方法在精度和效率方面的改进。结果与商业软件FEKO和传统的BoR方法进行了比较。通过对天线罩内完美电导体(PEC)抛物面天线的多层物体进行建模,验证了该方法的实用性。数值结果表明,BoR- sim法是求解散射问题的有效替代方法。
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引用次数: 0
An Efficient Wideband Algorithm for Dielectric Objects: PMCHWT Combined With FDM and AWE 一种高效的介质目标宽带算法:FDM和AWE相结合的PMCHWT
IF 5.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-20 DOI: 10.1109/TAP.2025.3632909
Haoxuan Gong;Xing Wang;Chunheng Liu;Hairong Zhang;Lin Chen;Ying Liu
A novel and efficient wideband frequency sweep algorithm is proposed to improve the computational efficiency of electromagnetic scattering analysis for dielectric objects. The method is based on the Poggio–Miller–Chang–Harrington–Wu–Tsai (PMCHWT) integral equation. The fast dipole method (FDM) is employed to reduce the time required for impedance matrix generation. The far-field impedance elements are computed on demand, which significantly reduces memory consumption. To avoid the repeated point-by-point frequency sweep, the asymptotic waveform evaluation (AWE) technique is integrated into the framework. This approach eliminates the need to store high-order derivatives and further enhances computational efficiency. Additionally, the application of Padé approximation extends the fitting bandwidth. Numerical results validate the accuracy and efficiency of the proposed PMCHWT combined with FDM and AWE (PMCHWT-FDM-AWE) algorithm.
为了提高介质物体电磁散射分析的计算效率,提出了一种新颖高效的宽带扫频算法。该方法基于Poggio-Miller-Chang-Harrington-Wu-Tsai (PMCHWT)积分方程。采用快速偶极子法(FDM)来减少阻抗矩阵生成所需的时间。远场阻抗元件按需计算,大大降低了内存消耗。为了避免重复逐点扫频,将渐近波形评估(AWE)技术集成到该框架中。这种方法消除了存储高阶导数的需要,进一步提高了计算效率。此外,pad近似法的应用扩大了拟合带宽。数值结果验证了PMCHWT结合FDM和AWE (PMCHWT-FDM-AWE)算法的准确性和有效性。
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引用次数: 0
All-Metal High Gain and Circularly Polarized Endfire Antenna Based on Perturbed Horizontal Stubs and Shared Tightly Coupled Dipoles 基于摄动水平存根和共享紧密耦合偶极子的全金属高增益圆极化端射天线
IF 5.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-19 DOI: 10.1109/TAP.2025.3632332
Zhe Wu;Fantao Wu;Jian Xu;Yu Yun;Lingkun Ma;Nengwu Liu;Ying Liu;Tao Tao;Ling Sun;Ruiqi Wang;Yindi Wang
In this communication, we present an all-metal circularly polarized (CP) endfire antenna array composed of a series of perturbed stubs and shared tightly coupled resonant elements integrated with a double-sided parallel stripline (DSPSL). By feeding one port with an SMA connector while terminating the other with a $50~Omega $ load, the antenna can achieve left-hand/right-hand circular polarization (LHCP/RHCP) radiation in the endfire direction. When the excitation and the matched load exchange positions, it can also generate RHCP/LHCP radiation. A prototype was fabricated to validate the design, and measurements conducted in an anechoic chamber demonstrated excellent agreement with simulation results. The proposed antenna exhibits an impedance bandwidth and axial ratio (AR) bandwidth of 8%, an efficient of 82%91%, and an endfire gains of 12.2 dBi for LHCP and 11.9 dBi for RHCP. The compact size $(3.5lambda _{0} times 0.58lambda _{0})$ of the antenna further enhances its practicality and makes it a promising candidate for long-distance and fixed-point communication systems.
在本次通信中,我们提出了一种全金属圆极化(CP)端射天线阵列,该阵列由一系列摄动存根和共享紧密耦合谐振元件组成,并集成了双面平行带状线(DSPSL)。通过在一个端口上插入SMA连接器,同时在另一个端口上加载$50~Omega $负载,天线可以在端射方向上实现左/右圆极化(LHCP/RHCP)辐射。当励磁与匹配负载交换位置时,也能产生RHCP/LHCP辐射。制作了一个原型来验证设计,并在消声室中进行了测量,结果与仿真结果非常吻合。该天线的阻抗带宽和轴向比带宽均为8%, an efficient of 82%91%, and an endfire gains of 12.2 dBi for LHCP and 11.9 dBi for RHCP. The compact size $(3.5lambda _{0} times 0.58lambda _{0})$ of the antenna further enhances its practicality and makes it a promising candidate for long-distance and fixed-point communication systems.
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引用次数: 0
The Gradual Interval Mapping Method Integration Framework for Multiple Metasurfaces Fast Design 面向多元曲面快速设计的渐变区间映射方法集成框架
IF 5.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-19 DOI: 10.1109/TAP.2025.3632301
Peng Wang;Chao Luo;Zhenning Li;Wen Jiang;Tao Hong;Gert Frølund Pedersen;Ming Shen
This work presents a gradual interval mapping method (IMM) integration framework for the rapid design of multiple metasurfaces. By leveraging the deep neural networks, the gradual design framework efficiently predicts both S-parameters and geometric structures using interval folding lines as input. Unlike traditional and current approaches, the proposed method integrates IMM with a filling strategy, simplifying data processing and enhancing prediction accuracy. To validate its effectiveness, three types of frequency-selective surface (FSS) are designed, one of which is fabricated and experimentally measured in a microwave chamber. Simulation and measurement results confirm the superior performance of the framework, highlighting its potential for intelligent electromagnetic device design. Finally, we conclude with a short discussion of the work, including its limitations and developability.
本文提出了一种用于多元表面快速设计的渐进区间映射方法(IMM)集成框架。通过利用深度神经网络,渐进式设计框架使用区间折叠线作为输入有效地预测s参数和几何结构。与传统方法和现有方法不同,该方法将IMM与填充策略相结合,简化了数据处理过程,提高了预测精度。为了验证其有效性,设计了三种类型的频率选择表面(FSS),并在微波室中制作了一种频率选择表面并进行了实验测量。仿真和测量结果证实了该框架的优越性能,突出了其在智能电磁器件设计中的潜力。最后,我们对这项工作进行了简短的讨论,包括其局限性和可发展性。
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引用次数: 0
Multilevel Monte Carlo Coupled With the Parabolic Wave Equation Method for Uncertainty Analysis of Radio Wave Propagation in Tunnels 隧道中无线电波传播不确定性分析的多层蒙特卡罗耦合抛物波方程方法
IF 5.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-14 DOI: 10.1109/TAP.2025.3630887
Sicheng An;Luca Di Rienzo;Hao Qin;Xiaojie Zhu;Xingqi Zhang;Lorenzo Codecasa
Radio wave propagation modeling in tunnels is crucial to designing reliable wireless communication systems. Among the techniques available, the parabolic wave equation (PWE) methods have been widely utilized, due to their balance of accuracy and efficiency. However, the accuracy of the PWE methods depends on precise knowledge of tunnel environments, which are subject to uncertainties. While Monte Carlo (MC) methods are reliable for uncertainty analysis, they are computationally intensive. Polynomial chaos expansion (PCE) methods, though efficient, struggle with high-dimensional inputs. This communication applies the multilevel MC (MLMC) method to the PWE method in a nonintrusive way. MLMC is employed to address uncertainties arising from various sources. Such an MLMC-PWE method provides efficient estimations of the mean and variance of quantities of interest (QoI) by utilizing a multiscale hierarchy of spatial discretization. Numerical examples across different tunnel geometries demonstrate that the MLMC-PWE method achieves lower computational costs and improves efficiency relative to the MC-PWE method and the PCE-PWE method.
隧道无线电波传播建模是设计可靠无线通信系统的关键。抛物波动方程(PWE)方法以其在精度和效率上的平衡得到了广泛的应用。然而,PWE方法的准确性取决于对隧道环境的精确了解,而隧道环境受到不确定性的影响。虽然蒙特卡罗(MC)方法对不确定性分析是可靠的,但它们的计算量很大。多项式混沌展开(PCE)方法虽然有效,但难以处理高维输入。该通信以非侵入式方式将多级MC (MLMC)方法应用于PWE方法。MLMC用于解决各种来源的不确定性。这种MLMC-PWE方法通过利用空间离散化的多尺度层次,提供了兴趣量(qi)的均值和方差的有效估计。不同隧道几何形状的数值算例表明,与MC-PWE方法和PCE-PWE方法相比,MLMC-PWE方法的计算成本更低,效率更高。
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引用次数: 0
Synthesis of Large Thinned Planar Circular Array Using Two-Stage Alternating Iterative FFT 两级交替迭代快速傅里叶变换法合成大型薄平面圆形阵列
IF 5.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-10 DOI: 10.1109/TAP.2025.3628959
Yanhong Xu;Heming Xie;Can Cui;Jingwei Xu;Xin Dai
To address the issue of the iterative Fourier transform (IFT) method easily falling into local optima in thinned array synthesis, this communication proposes a two-stage alternating IFT (TSAIFT) approach for large thinned planar circular array synthesis, which involves an optimization stage utilizing a modified IFT density tapering (IFTDT), and a relaxation stage employing the IFT with constrained amplitude range. Specifically, the dynamic reference excitation mechanism is proposed to enhance the global exploration ability, which allows the number of active array elements in each ring to be iteratively adjusted during the optimization stage. In the relaxation stage, the excitation amplitudes are no longer constrained to be 0 or 1. Instead, a relaxation factor is introduced to gradually accumulate the small variations in the excitation coefficients. When the optimization stage gets trapped in local optima, it transitions to the relaxation stage to escape from the local optima. The two stages alternate to approach the optimal solution gradually. Due to the adoption of the low-computational IFT for both optimization and escaping from local optima, the proposed TSAIFT is capable of achieving competitive optimization results within a relatively short period of time, even when dealing with large-scale arrays. Several typical thinned planar circular arrays formed by isotropic elements and microstrip patch elements are synthesized, and the experimental results demonstrate the effectiveness of the proposed approach in optimization performance and computational efficiency.
为了解决迭代傅里叶变换(IFT)方法在薄阵列合成中容易陷入局部最优的问题,本文提出了一种用于大型薄平面圆形阵列合成的两阶段交替IFT (taift)方法,其中包括利用改进的IFT密度渐减(IFTDT)的优化阶段,以及采用具有约束幅度范围的IFT的松弛阶段。具体而言,提出了动态参考激励机制来增强全局探测能力,该机制允许在优化阶段迭代调整每个环上有源阵元的数量。在弛豫阶段,激发幅值不再局限于0或1。相反,引入一个松弛因子来逐渐累积激励系数的小变化。当优化阶段陷入局部最优时,过渡到松弛阶段以摆脱局部最优。这两个阶段交替进行,逐渐逼近最优解。由于采用了低计算量的IFT来进行优化和逃离局部最优,因此即使在处理大规模阵列时,所提出的TSAIFT也能够在相对较短的时间内获得竞争性优化结果。合成了几种典型的由各向同性元件和微带贴片元件组成的薄平面圆形阵列,实验结果表明了该方法在优化性能和计算效率方面的有效性。
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引用次数: 0
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IEEE Transactions on Antennas and Propagation
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