摘要
传统的数字信号处理方法如数字波束形成技术在多阵元通道情况下设备量大,而且通道一致性很难保障,导致性能不理想,基于此提出了一种联合梯度和遗传算法的星载天线闭环调零算法,在射频端直接搜索最优权值并完成波束合成,因而不需要多通道数字化处理。该算法结合了遗传算法不受初始值选取的限制,具有全局的搜索的能力和梯度的快速收敛特性,极大地减少了初始种群规模,使运算复杂度大大减小,提高了算法的在线实现能力。通过对其马尔可夫链模型的分析可知该算法以概率1收敛到最优值;基于实测数据的仿真实验表明了该算法的有效性。
For traditional digital beamforming method, a drastic hardware is required for the multi-channel; also channel＇s consistency is difficult to ensure. A novel space-borne antenna nulling method based on Gradient-Genetic Algorithm （GA） is presented to search the fittest weight for beamforming in radio frequency （RF）. Combining GA＇s capability of whole searching and not limited by selection of initial parameter with the Gradient algorithm＇s advantage of fast searching, it can offer less initial population and low computer complexity, thus improving the ability on line. A further result on the Markov chain modal of Gradient-GA shows it is a global stochastic searching method and can converge as probability 1. Simulation results based on the spot survey data show that this algorithm is efficient.
出处
《中国电子科学研究院学报》
2007年第3期276-282,共7页
Journal of China Academy of Electronics and Information Technology
