大型直线稀疏阵列的迭代FFT算法优化

提出了一种基于迭代FFT算法的大型直线稀疏阵列(可放置阵元的栅格数为1 000)的旁瓣电平优化方法,并给出了详细的优化步骤。在给定的旁瓣约束条件下,利用阵列因子与阵元激励之间存在的傅里叶变换关系,对不同的初始随机阵元激励分别进行迭代循环来降低稀疏阵列的旁瓣电平。在迭代过程中,根据稀疏率将阵元激励按幅度大小置1置0来完成阵列稀疏。仿真实验证明了该方法的高效性和稳健性。     

基于改进遗传算法的圆阵稀布方法

由于圆形阵列所具有的特性,使其正得到日益广泛的应用,但是圆阵方向图却具有相对主瓣较高的旁瓣电平。为此,针对稀布圆形阵列的天线单元使旁瓣电平尽量降低的问题,应用改进的遗传算法,取角度差值为染色体的基因,进行阵列孔径、单元个数、最小间隔一定的稀布优化排列,减小了遗传算法的搜索空间,提高了搜索效率。仿真结果表明:该方法能有效提高收敛速度、降低圆阵的旁瓣电平。     

基于改进风驱动优化算法的稀疏阵列旁瓣抑制方法

针对阵列稀疏通常会引起波束方向图旁瓣电平抬高的问题,本文提出了一种基于改进风驱动优化算法和凸优化的稀疏阵列旁瓣抑制方法。该方法首先针对传统的风驱动优化（Wind driven optimization, WDO）算法缺少普遍适用的参数设置方案,提出了一种结合高斯分布的改进风驱动优化算法。将半圆阵方向图的峰值旁瓣电平作为目标函数,采用改进的WDO算法作为全局优化算法来优化阵元位置,同时采用凸优化算法作为局部优化算法来高效求解有效阵元的最优加权系数,确保了阵元位置和权值的理想匹配。仿真结果表明,在稀疏 阵列阵元数一定的情况下,算法可有效降低旁瓣水平,具有更好的全局寻优能力和更快的收敛速度,为稀疏阵列的旁瓣抑制提供了有效的优化设计方法。     

运用迭代FFT算法优化矩形平面稀疏阵列

介绍了一种基于迭代FFT算法的优化方法来实现矩形稀疏阵列的峰值旁瓣电平最优化的设计,给出了该方法的详细优化步骤.如果矩形平面阵列的阵元等间距分布,则阵列因子与阵元激励之间存在二维傅里叶变换关系,对随机初始化的阵元激励作迭代FFT循环,在一定的旁瓣约束条件下,便可以得到最优的阵元分布.仿真结果证明了该方法的快速性、有效性...     

基于改进遗传算法的圆阵列方向图联合优化

为降低圆阵列方向图的峰值旁瓣电平,提出一种基于改进遗传算法的圆阵列方向图优化方法。将阵元位置和阵元权值作为联合优化变量,以最小化波束方向图峰值旁瓣为目标函数,采用遗传算法优化阵元位置和阵元权值,以增加变量的自由度,在采用双重选择机制的基础上,结合差分进化、内插/外推、单点交叉和多点交叉4种方式实现交叉变异。实验结果表明,该方法能降低陷入局部最优点的概率,具有较好的适应度和较快的收敛速度,使峰值旁瓣电平降低至?12.611 dB。     

共形球面阵建模及其旁瓣控制的研究

运用球面几何知识,根据孔径及最小阵元间距约束,提出了一种基于正二十面体球面三角剖分法的球面阵建模方法。应用遗传算法,针对新模型相对主瓣较高的旁瓣电平问题,以阵元位置标识向量为个体元素,进行孔径、阵元个数、最小间隔一定的稀疏优化处理。仿真结果表明,新模型在结构上实现了阵元的近似球面对称分布,运用遗传算法有效地优化了共形球面阵的旁瓣性能。     

一种均匀加权线阵的阵元位置优化方法

等间距排列的均匀加权线阵,其峰值旁瓣电平过高,不能在工程中直接使用。为降低其峰值旁瓣电平,提出了一种对其阵元位置进行优化的算法。根据FIR滤波器线性相位条件推导了均匀加权线阵中各个阵元位置应满足的条件,利用该条件并让其归一化方向图与等间距加权线阵的归一化方向图等效,最终得到了均匀加权线阵的阵元位置。仿真结果显示,该等效方法可以得到较低的峰值旁瓣电平。而且对于阵元数目为奇数或偶数的线阵均能起到良好的优化作用,对于实际工程具有一定的参考价值。     

基于改进差分进化算法的天线阵列优化研究

针对具有阵元数目、孔径尺寸以及最小阵元间距约束,以抑制峰值旁瓣电平(PSLL),使非均匀阵列单元得到优化布局.优化过程中由于搜索空间较大,优化结果可能出现不可行解.为有效地解决以上两个问题,提出了一种改进的差分进化算法,采用实值编码,通过使用新的个体描述方式,减小了优化搜索空间;同时通过改造适应度函数,避免了变异交叉后出现不可行解.给出了改进算法的流程,通过仿真实例验证了算法的有效性和稳健性.仿真结果表明,改进方法在有最小阵元间距约束下以抑制峰值旁瓣电平为目的的非均匀阵列单元优化布局问题中有良好的应用前景.     

遗传算法在阵列天线方向图综合中的应用

应用实数编码的遗传算法进行阵列天线方向图综合的优化设计.针对阵列天线方向图综合的特点,运用算法,通过优化单元电流幅度、阵元间距,对阵列天线方向图进行了综合优化,其中包括方向图的波瓣控制和零点生成,并同时压低旁瓣电平使其达到期望值.仿真结果表明,通过优化,天线阵的辐射特性获得很大的改善,在主瓣宽度满足要求的情况下,副瓣电平也可达到-33.6100dB.良好的仿真结果表明遗传算法在阵列天线方向图综合中的应用是有效的,有良好的应用前景.     

基于粒子群优化算法的共形阵列天线图综合

随着阵列天线技术的发展,可与飞行器、导弹等载体共形的天线阵列得到了越来越广泛的应用.共形阵列天线为满足天线工作特性的同时,不破坏载体的外形结构和空气动力学特性.粒子群优化算法(PSO)是一种通过粒子之间的合作与竞争来实现复杂多维空间的最优区域搜索的优化算法.采用了一种改进的粒子群优化算法,通过增加变异算子,改善了PSO算法的全局搜索能力,对圆柱共形阵列天线的方向图进行了综合,其中采用了具有余弦分布的辐射单元,阵元设置在柱面上,其最大辐射方向为柱面法线方向,通过500次迭代得到不同半径及不同阵元数的优化结果,其中方向图的峰值副瓣电平低于-20dB,说明了PSO算法对解决此类问题的有效性.     

A parallel implementation of seeker optimization algorithm for designing circular and concentric circular antenna arrays

In this paper, a parallel version of seeker optimization algorithm (SOA) is proposed for designing circular and concentric circular antenna arrays with the low sidelobe levels at a fixed beamwidth. The SOA is a relatively new evolutionary optimization algorithm based on the concept of simulating the act of humans’ intelligent search with their memory, experience, and uncertainty reasoning. In this work, The SOA has been parallelized by benefiting from its dividable population form. The numerical results show that the design of circular and concentric circular antenna arrays using the parallel SOA provides good sidelobe levels with a fixed beamwidth. The quality of results obtained by the parallel SOA is checked by comparing with those of several evolutionary algorithms in the literature.     

Synthesis of circular arrays with sidelobes of individually arbitrary levels

Synthesis of circular antenna arrays to have individually arbitrary sidelobe levels, is investigated. Circular arrays are synthesized by applying a transformation to previously designed linear arrays. The antennas of the circular arrays are considered either isotropic or directive. The synthesized patterns are steerable without any distortion. Some examples are brought to verify the effectiveness of the proposed procedure for both isotropic and directive antennas.     

Synthesis of concurrent multibeam and conical beam antenna arrays

An approach is presented to synthesize linear and planar antenna arrays to have concurrent multibeam radiation patterns as well as desired sidelobe levels. This approach is based on zeros perturbation of the pattern of linear arrays. Multibeam planar arrays are synthesized by both multiplying and transforming multibeam linear arrays. Besides, planar arrays having conical or ring type beam are synthesized by applying a special transformation to dual‐beam linear arrays. Some examples are brought to verify the effectiveness of the proposed approach for both linear and planar arrays.     

Synthesis of linear and planar arrays with sidelobes of individually arbitrary levels

A procedure is presented to synthesize linear and planar antenna arrays to have individually arbitrary sidelobe levels. This procedure is based on perturbation of the zeros of radiation pattern and is applicable for both sum‐ and difference‐type radiation patterns. Planar antenna arrays are synthesized by transforming synthesized linear arrays to planar arrays. The synthesized planar arrays would have ring type sidelobes. Some examples are brought to verify the effectiveness of the proposed procedure for both linear and planar arrays with sum or difference radiation patterns.     

基于遗传算法和禁忌搜索的MIMO雷达天线布阵优化

研究MIMO雷达在发射、接收天线孔径长度和阵元数目固定等约束条件下的天线方向图综合。MIMO雷达采用稀布天线,为了克服栅瓣效应并且降低旁瓣电平,同时为了避免遗传算法早熟收敛,进入局部最优,提出了一种基于遗传算法和禁忌搜索的混合二次优化布阵方法。该方法为了保证系统最大自由度,引入了距离扰动,同时对发射天线和接收天线的位置进行两次优化,有效解决了MIMO雷达天线方向图综合中低旁瓣电平设计问题。仿真结果证明了所提算法的有效性和优越性。     

Reduction of sidelobe levels in interrupted phased array antennas by means of a genetic algorithm

Interruptions in the regular lattice of a phased array antenna can lead to elevated sidelobe levels in the resulting antenna pattern. A method for reducing the sidelobe level in such an array is presented, based on the use of a genetic algorithm that modifies the element weights in the array. Results are presented for both scanned and unscanned arrays. © 2007 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2007.     

Synthesis of sparse planar antenna arrays with multiple constraints

Synthesis of symmetrical sparse planar antenna arrays is introduced in this paper. In order to reduce the peak sidelobe level of the radiation pattern, the element positions of the arrays are optimized by invasive weed optimization with complex boundary conditions. The proposed algorithm changes a two‐dimensional optimization problem into a linear problem, which will reduce the complexity of the optimization procedure. The optimization method can constrain the size of the array aperture, the element number of the array, and the minimum spacing of the adjacent elements simultaneously. The simulation results show the robustness and effectiveness of the proposed method.