考虑互耦的相控阵面天线波束形成

本文从实现相控阵面天线低副瓣性能的角度出发,针对在实际的相控阵天线设计中由于阵列天线单元间的互耦效应,用理想的电流分布作为激励往往达不到所期望的副瓣电平要求这一缺陷,首先用矩量法精确分析了考虑互耦影响时相控阵面天线阵元的电流分布,作出归一化电流幅度分布图,仿真实现了阵元互耦对相控阵面天线波束形成的影响效果,接下来用软件的方式补偿互耦所造成的影响,给出补偿的具体步骤,从而完成了相控阵天线波束形成的综合.     

考虑互耦的平面相控阵天线波束形成

针对互耦会影响天线方向图的问题,首先用矩量法精确分析了考虑互耦影响时平面相控阵天线阵元的电流分布,仿真实现了阵元互耦对相控阵天线波束形成的影响效果,然后用软件补偿的方法补偿互耦所造成的影响,从而完成了相控阵天线波束形成的综合.     

考虑互耦影响下的智能天线数字波束赋形

本文分析了阵列单元之间的互耦对智能天线阵列数字波束赋形（DBF）的影响。通过对天线子系统建立等效接收模型，对由理想半波振子组成的8单元圆阵（用于TD-SCDMA系统）进行矩量法（MOM）分析，得到表征单元之间互耦的广义阻抗矩阵，由此得到智能天线的互耦信息及其对天线性能（SINR）的影响。通过数值分析结果与试验的结果与对比可以看出互耦对副瓣电平和智能天线抑制干扰的能力有一定的影响。本文的分析对智能天线的研究具有一定意义。     

MIMO系统中互耦影响分析

文章简要概括了MIMO系统及其信道容量，并基于矩量法重点分析了MIMO系统中天线阵元间的互耦作用对每个天线阵元辐射方向图的影响。结果表明互耦能使每个天线阵元的方向图发生畸变，所以在应用射线追踪法构建MIMO系统的信道矩阵时必须考虑互耦的影响以提高计算精度。     

应用切比雪夫逼近快速求解目标宽带雷达散射截面

将切比雪夫逼近理论应用于目标宽带电磁散射特性分析中,通过求解给定频带内的切比雪夫节点和节点处的目标表面电流,实现了频带内任意频率点表面电流的快速预测,从而实现目标宽带雷达散射截面的快速计算.组合场积分方程的使用消除了内谐振问题.将计算结果与传统矩量法逐点计算的结果进行了比较,结果表明在不影响精度的前提下,该方法的计算效率大大提高.     

切比雪夫滤波器的计算机辅助设计

介绍了切比雪夫滤波器的计算机辅助设计软件。它不但能实现整个设计过程的自动化，尤为重要的是，还可自动生成相应ＰＳＰＩＣＥ源文件，用内建库的运放直接进行仿真。     

测向天线阵互耦效应分析

天线阵元间的互耦效应将导致天线阵列的电参数和方向性的改变,从而影响测向系统的性能。针对天线阵列各单元之间的互耦现象,提出了利用矩量法精确分析天线阵列各单元上的电流分布,进一步通过互阻抗网络计算法求出测向天线单元的实际激励电压的幅度和相位,进而得到天线的辐射和接收特性。对实际的均匀直线阵列超分辨测向系统中的互耦效应进行了分析,给出了仿真结果,验证了互耦效应对测向性能的影响。     

切比雪夫频率特性演示仪

滤波器是一种选频装置，即将一部分频率范围内的信号滤掉，而允许另一部分频率范围内的信号通过。本文通过Labview，组成切比雪夫滤波器。     

切比雪夫多项式的表格法研究

本文用直观的表格法研究切比雪夫多项式，获得了若干有关切比雪夫多项式的新的结构性质。本文方法在工程应用中较有用。     

互耦影响下的自适应圆阵分析

本文用矩量法严格分析了考虑互耦影响时自适应天线阵元的电流分布,给出了计算电流的解析式,并计算了八单元圆阵的电流分布。用等效网络法推导了考虑互耦影响时的最佳权矢量。仿真计算了不同阵元间距时,自适应阵的数字波束赋形。     

Evolutionary optimization for pattern synthesis and reduction of mutual coupling of linear antenna arrays

Optimal design of antenna arrays to minimize the mutual coupling effects in the geometrical arrangements of the linear antenna array (LAA) and circular antenna array (CAA) is dealt with in this work. Two different cases are considered to reduce the effect of LAA and CAA: Case‐1 in which the current excitations of the antenna array are considered to get the optimal radiation pattern of two geometry called LAA and CAA and Case‐2 in which inter‐element spacing and current excitations are both optimized for LAA geometry. A cost function that involves the mutual coupling factor as an optimization factor is developed to reduce the side lobe level (SLL), which takes mutual coupling effects into consideration. Excitation values and inter‐elemental spacing are optimized using particle swarm optimization (PSO). In LAA, for 8‐, 12‐, 16‐element arrays, SLLs are reduced by ?15.52, ?16.71, and ?17.78 dB in Case‐1. For the same sets of element arrays, SLLs were reduced by ?17.35, ?19.71, and ?20.26 dB in Case‐2. In CAA, the current excitations of the antenna array are optimized. For 8‐, 12‐, and 16‐ element arrays, SLLs are reduced to ?7.405, ?10.52, and ?9.43 dB, respectively. The arrays coded with the help of MATLAB based computation and the results obtained by MATLAB are validated by using CST.     

Directions of arrival estimation with planar antenna arrays in the presence of mutual coupling

Directions of arrival (DoAs) estimation of multiple sources using an antenna array is a challenging topic in wireless communication. The DoAs estimation accuracy depends not only on the selected technique and algorithm, but also on the geometrical configuration of the antenna array used during the estimation. In this article the robustness of common planar antenna arrays against unaccounted mutual coupling is examined and their DoAs estimation capabilities are compared and analysed through computer simulations using the well-known MUltiple SIgnal Classification (MUSIC) algorithm. Our analysis is based on an electromagnetic concept to calculate an approximation of the impedance matrices that define the mutual coupling matrix (MCM). Furthermore, a CRB analysis is presented and used as an asymptotic performance benchmark of the studied antenna arrays. The impact of the studied antenna arrays geometry on the MCM structure is also investigated. Simulation results show that the UCCA has more robustness against unaccounted mutual coupling and performs better results than both UCA and URA geometries. The performed simulations confirm also that, although the UCCA achieves better performance under complicated scenarios, the URA shows better asymptotic (CRB) behaviour which promises more accuracy on DoAs estimation.     

用于MIMO基站双极化天线设计及阵元互耦分析

利用缝隙耦合技术和双线馈电技术设计出了一种H型缝隙耦合天线。其结构简单,制作容易,成本低廉,并具有高增益、高隔离、双极化的特性,非常适用做MIMO基站端天线。对天线进行了仿真和测试,测试结果与仿真结果吻合良好,在2.11~2.17 GHz所需频段内,实测两端口VSWR均小于1.2,实测水平极化增益为9.2 dBi、垂直极化增益为9.17 dBi、端口隔离度在频段内均低于-40 dB。分析了MIMO系统中天线阵元间的互耦作用,仿真得出基站天线阵最小阵元间距为d=0.86λ,从而为MIMO系统分析相关性提供了参考数据。     

考虑互耦影响下的DOA估计算法

研究了考虑互耦情况下的DOA估计算法MUSIC算法。互耦改变了阵列响应矢量和接收信号相干矩阵的特征值结构,因此影响了DOA估计的精度,用矩量法计算了由半波振子阵列的单元之间的互耦,通过得到的阻抗矩阵来估计互耦的影响。最终给出了计算机仿真的结果。     

COMPENSATION FOR THE EFFECTS OF MUTUAL COUPLING ON THE PERFORMANCE OF ADAPTIVE ARRAYS

Using the Method of Moments(MoM) and the spectral method, the effect of mutual coupling on the performance of adaptive arrays is compensated.First, the MoM is used to compute the behavior of the array,where the accurate analytical model and odd numbers of piecewise sinusoids are applied.Then the covariance matrix with mutual coupling being taken into account is analyzed, and the expression for the weight of the Least Mean Square(LMS) algorithm with mutual coupling being compensated is given.Finally, the method given in this letter is tested on an example.     

Mutual coupling compensation of linear antenna array using evolutionary optimization technique

This paper presents an optimization-based approach to compensate for the mutual coupling effect and to reduce the sidelobe level (SLL) of the normalized radiation pattern by optimizing the current excitation amplitude of the antenna array elements. Due to the mutual coupling effect, the SLL of the radiation pattern is increased, and thereby, the field pattern of the antenna array is severely degraded. This causes interference with other communication systems working at the same frequency. Toward the compensation of the mutual coupling effect and reduction of SLL, the Cat swarm optimization (CSO) algorithm is employed, and the excitation amplitudes of the antenna elements are optimized. In this regard, optimizing the cost function is defined by introducing the impedance factor (IF), calculated by using the self-impedance and mutual impedance of the antenna elements. The proposed method for the synthesis of a mutually coupled linear antenna array is less expensive, simpler to use, and more effective. Array sets of 4, 6, 8, and 10 elements are considered for optimization.     

三维空间MIMO信道接收天线阵列互耦效应及系统容量分析

针对非频率选择性瑞利衰落MIMO(multiple-input multiple-output)信道,建立了接收天线阵列的三维空间信道模型,将MIMO的一般信道建模推广到三维空间域。在建模过程中利用天线阵列在互耦效应下的等效网络模型,推导出三维空间域模型下的互耦相关性的通用表达式,阐明了互耦效应下相关性与无互耦相关性之间的关系。应用通用表达式分析了当接收端为不同的天线阵列结构时,入射信号的中心到达角和角度扩展分别对于在互耦效应下信道容量的影响。分析结果验证了不同的角度扩展对于互耦相关性的影响,揭示了在互耦效应下影响系统容量的主要因素为入射信号的平均中心到达角。     

X型极化分集系统中天线互耦效应分析

极化分集系统的分集增益性能受天线阵元间互耦因素的影响很大。为了探究存在互耦效应时天线分集增益与阵列夹角之间的关系,首先基于天线基本理论,推导出X型极化分集阵列互耦阻抗、空域相关性以及平均功率比等参数的显性数学表达式,并据此详细研究存在阵列耦合时,X型极化分集系统分集增益性能随阵列排布夹角而改变的变化趋势。理论分析与计算机数值仿真结果皆表明：引入阵列互耦效应后,X型极化分集阵列的分集增益性能优于不计互耦效应时的阵元夹角范围,将随着交叉极化鉴别度的增大而增大。鉴于实际通信环境大多处于较高交叉极化鉴别度值的情形,故此研究结果可为多输入多输出（MIMO）系统小型化设计提供重要的理论及数值分析参考。