混合遗传算法用于卫星自适应调零天线研究

将遗传算法与LMS算法结合构成一种混合遗传算法,并将其用于卫星自适应调零天线的波束空间调零处理。研究了参数设置对混合算法抗干扰能力的影响,并讨论了一种参数自适应的方法,这种方法降低了参数选择的难度,提高了参数选择的效率,并能够动态的调整参数设置达到较好的抗干扰效果。     

Phase-only transmit beampattern design for large phased array antennas with multi-point nulling

Multidimensional Systems and Signal Processing - In this paper, we investigate the problem of the phase-only transmit beampattern design for phased array system with large antennas. The goal of...     

Optimum phase-only adaptive nulling

Optimum weighting of adaptive antenna arrays is accomplished by computing the weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR). The optimal weight vector is in general complex with each weight having different magnitudes and phases. However, the design of some antenna arrays facilitates phase-only weighting or phase-only adjustments, whereupon it is desirable to compute the constrained optimal weight vector whose components have fixed magnitudes but variable phases. This constrained optimization problem may be posed as the problem of maximizing the SINR on the space of phase-only vectors. This paper addresses the problem of computing optimal phase-only adaptive weight vectors by exploiting several properties of phasor and matrix algebra. Two new algorithms (the phase-only conjugate gradient and phase-only Newton's method) are introduced. The convergence properties. SINR performance, sidelobe level performance, and nulling performance of these algorithms are demonstrated using simulations and experimental data     

An experimental adaptive nulling receiver utilizing the samplematrix inversion algorithm with channel equalization

The authors explore two ideas for effectively achieving channel equalization within the framework of a narrowband sidelobe canceler. The first approach relies primarily on digital equalization to enhance conventional sample matrix inversion (SMI) performance, whereas the second utilizes feedback to extend the SMI method into the realm of analog adaptive cancellation. An experimental four-channel receiver that supports open-loop and closed-loop operation is described. As implemented, three different canceler modes are possible: feedforward, feedback, and a tandem feedback/feedforward combination. All three modes have been successfully demonstrated in bench experiments with a broadband noise source using the SMI algorithm. Cancellation ratios in excess of 50 dB have been achieved in a four-channel testbed system     

改进的波束成型遗传算法对宽角度干扰的抑制

将遗传算法应用于一维线性天线阵的波束成型,研究了该算法对宽角度干扰的抑制性能。提出了一种改进的二进制编码方法,引入若干参数用以方便地控制了解的精度和搜索空间。仿真结果表明,该算法可以有效地抑制宽角度范围的强干扰信号,收敛速度快,抑制深度可达30dB。与已发表的文献比,该算法得到了更好的干扰抑制效果。     

基于神经网络的多波束天线自适应调零

具有一定的干扰自适应调零能力是对了卫星通信系统的基本要求。本文结合多波束天线特性，提出了一种基于RBF神经网络的MVDR波束合成器干扰抑制方案。该方法可有效避免采样矩阵求逆带来的影响，收敛速度更快，对所需信号参数具有一定的顽健性。计算机仿真验证了该方法的可行性。     

自适应遗传算法优化支持向量机的过电压识别

为了提高过电压识别的准确性,以及加快过电压的识别速度,提出一种自适应遗传算法优化支持向量机的过电压识别方法。首先针对单一特征信息难以获得过电压高识别率的问题,采用时域波形、波头、时频谱的组合特征作为过电压识别特征,然后采用过电压的训练样本对支持向量机进行学习,建立过电压识别的分类器,并引入自适应遗传算法对支持向量机参数进行优化,最后采用具体过电压识别实例进行性能仿真分析。结果表明,该方法的过电压平均识别率达到95%以上,远远超过了实际应用的85%要求,且识别结果要优于其他过电压识别方法。     

基于改进粒子群算法的仅相位加权波束赋形

为有效提高雷达天线抑制强烈地海杂波的要求,文中提出了一种改进的粒子群算法,可以很好的实现阵列天线仅相位加权不对称波束赋形。该算法通过引入自适应收缩因子和适应度函数加权因子,并在非优胜粒子位置更新时引入混沌扰动,避免搜索过程陷入局部最优。计算结果表明,与普通粒子群算法相比有效提高了全局搜索能力和收敛速度,大量减少了迭代次数,在方向图综合中有着非常好的实际工程应用性。     

Hysteresis identification and compensation using a genetic algorithm with adaptive search space

A genetic algorithm with adaptive search space (GAASS) is proposed and applied to identify the hysteresis model parameters of an electromechanical-valve actuator installed on a pneumatic system. According to the normalized fitness distance in each generation, the proposed GAASS method consistently identifies the best search domains in the parameter space and adjusts the crossover and mutation rates in order to achieve fast convergence and high accuracy. Experiments have been conducted to investigate the effectiveness of the proposed hysteresis identification approach. Three different types of sensors have been used in the experimental studies, and the experimental results have demonstrated the effectiveness of the proposed approach.     

Partial adaptive nulling on a monopulse phased array antenna system

A partial phase-only nulling (PPON) algorithm has been developed and evaluated on a 496-element monopulse phased array antenna system which employs five-bit phase shifters. Using this PPON algorithm allows nulls in the far-field pattern to be steered to the desired directions for a phased array equipped with low-resolution phase shifters to perform simultaneous nulling in the sum and two difference patterns in the environment of multiple jammers. Simulated and experimental patterns are illustrated     

通道不一致性对自适应调零天线的影响分析

为了提高自适应调零天线的抗干扰性能,分析了通道不一致性对自适应抗干扰LMS(最小均方)算法稳定性、收敛时间等方面的影响.同时仿真和分析了系统中造成通道不一致性的因素,仿真结果证明幅、相差异会严重恶化系统的性能.最后,给出了工程应用中的相应解决措施和设计指导原则.     

一种快速唯相位方向图置零方法

在相控阵雷达中,为了降低雷达信号被敌方侦收设备截获的概率,需要在阵列发射方向图某一角度形成零点。对此,提出一种快速相位加权方向图置零方法。该方法依据零点位置设置虚拟干扰,并构建干扰协方差矩阵;根据最小输出功率准则,建立零点生成数学模型;最后通过单坐标迭代算法求解相位权值。计算机仿真结果验证了该方法的正确性和有效性。     

A genetic algorithm used in a 61-element adaptive optical system

To correct the phase aberrations in a wave-front, a wavefront sensorless adaptive optical (AO) system is set up. A real-number encoding Gaussian mutation genetic algorithm (GA) that is adopted to control a 61-element deformable mirror (DM) is presented. This GA uses the light intensity behind a pinhole on the focal plane as the objective function to optimize, and therefore to omit the procedure of measuring the phase aberrations in the laser wavefront by a wavefront sensor. Phase aberrations generated by the DM are brought to an ideal incident wavefront. Several correction simulations have been accomplished. The simulation results show that the genetic algorithm is capable of finding the optimum DM shape to correct the phase aberrations. After the phase aberrations of the wavefront have been corrected by GA, the peak light intensity on the focal plane can be improved at most by a factor of 30, and the encircled energy Strehl ratio can be increased ultimately to 0.96 from 0.032. It is also found that the convergence and stability of the 61 voltages on the DM is quite well. The simulation results prove that the genetic algorithm can be used in AO systems effectively.     

基于自适应遗传算法的电力变压器优化设计

在研究遗传算法的基础上,分析了传统遗传算法种群多样性、收敛效率降低和易求得局部最优解的问题,提出自适应遗传算法优化设计电力变压器。采用适应度值标定的遗传算法改进策略,防止特殊个体统治种群导致的寻优结果是局部最优解,在算法临近结束时,变更选择压力,防止算法在最优解附近摇摆,加快了寻优过程。仿真结果表明,改进后的遗传算法收敛速度快,并以S9-315/10型电力变压器为算例,优化方案的性能指标符合相关国标,总损耗降低0.8%,材料成本降低8.3%。     

基于改进自适应遗传算法的图像配准方法

采用遗传算法进行图像配准时,存在收敛速度慢、易早熟的问题,可能导致误配。为克服这些缺点,提出了改进的自适应遗传算法(improved adaptive genetic algorithm,IAGA)。该算法以互信息作为相似性测度,通过对遗传参数设置的改进,自适应的调解进化过程中的交叉概率和变异概率,既提高了遗传算法的收敛速度,又有效地防止了早熟。实验结果表明,改进算法具有更好的有效性和精确性。     

HF零位天线系统及其算法

介绍了一种三元阵HF零位天线系统的设计。系统采用分时采样单通道检测技术代替传统的多通道检测技术，解决了困扰开环系统中通道失配的难题。对系统的关键技术：鞭环组合天线、检测通道、信号处理平台、分时采样技术进行了讨论。实验表明，利用MUSIC测向算法以及最小化干扰信号算法，系统能有效地抑制干扰。     

An adaptive nulling system for a narrow-band signal with alook-direction constraint utilizing the conjugate gradient method

The problem of iterative adjustments of the weights of a phased array with a look-direction constraint in the presence of jammers is presented. The technique described uses the adaptive conjugate method instead of the popularly used method of steepest descent to eliminate the jammer components, thus minimizing the error between the received signal and the actual one. This iterative method minimized the L₂ norm (the mean square error) and is guaranteed to converge in a finite number of steps which is not available for the present techniques utilized to solve this problem. Improvement in rate of convergence is thus achieved at the expense of algorithmic complexity     

Planar antenna pattern nulling using differential evolution algorithm

Differential evolution algorithm is used for the pattern synthesis of planar antenna arrays with prescribed pattern nulls by position-only and position-amplitude optimization. The position-only optimization for a planar array allows null synthesis in any prescribed direction. For planar antenna array thinning it is necessary to use position-amplitude optimization for problems involving more than two nulls.     

采用自适应归一化实数编码遗传算法优化鱼眼镜头系统

针对遗传算法(GA)优化超多参量光学系统时鲁棒性 较差的问题,在混入逃逸函数实数编码GA(MERCGA)的基础上,进一步结合参量归一化和自适 应变异概率的措施,提出了自适应归一化 实数编码GA(ANRCGA)。用ANRCGA对鱼眼镜头光学系统案例进行优化设计,并应用 评价函 数和Zemax光线追迹方法对MERCGA和ANRCGA的优化结果作比较。结果表明,应用本文的ANRCG A 比引自专利的参考设计及MERCGA优化得到光学系统的成像质量有明显提高,算法的鲁棒 性和计算效率也到了改善。