基于复数GA的波束空间自适应调零处理

Beamspace Adaptive Nulling Based on Complex-Coded GA

建立了直接辐射阵列多波束天线波束形成的数学模型.提出一种改进的复数编码遗传算法,在算法的初期和后期采用不同的配对方案,在奇数代和偶数代分别采用外推、内插和正交外推内插算子,克服了已有算法的早熟和对初始群体依赖等缺陷,提高了算法的全局收敛能力.采用记忆算子使算法能够对抗位置跳变干扰.模拟实验结果表明,该波束空间自适应调零新方法能够应用于LEO卫星抗干扰,且调零分辨率高、性能稳定可靠,可以获得比传统自适应波束形成算法更好的干扰抑制性能.

A beamforming model of multi-beam direct-radiating array antenna is established. A modified complex-coded genetic algorithm is introduced. This genetic algorithm chooses different mating operator in different period of lime. It selects different crossover operator such as extrapolation, interpolation, and orthogonal direction extrapolation and interpolation crossover operator in different generation. This algorithm overcomes the disadvantages of existing genetic algorithms -- prematurity and the dependence of convergence on the initial population, and enhances global convergence performance of the algorithm. It uses ＂remember operator＂ to suppresses the DOA-hop jamming. Computer simulation shows that this method has the advantages of high resolution and reliability in LEO satellite beam-space adaptive nulling. Its anti-jamming ability is better than the traditional adaptive beamforming algorithms.