基于蜂群算法多子阵电台天线波束形成

考虑到战场环境下,低信噪比和敌方干扰容易造成超短波电台通信中断,而鉴于天线阵可以有效提高信噪比和抑制干扰,结合战场电台天线分布特点,提出一种多子阵电台天线应急接收模型。理论分析多子阵电台天线波束形成特性,以消除栅瓣、抑制干扰、提高增益为目标,采用蜂群算法对子阵间距进行优化。仿真结果表明,优化子阵间距可以有效消除栅瓣、抑制干扰、提高增益。同时,与遗传算法和粒子群算法相比,蜂群算法具有更好的全局搜索能力和收敛速度。该研究成果可为超短波电台应急通信提供参考。

Research of Radio Antenna with Multi-subarrays Beam Forming Based on Bees Algorithm

VHF radio communication is easily interrupted by low Signal to Noise Ratio(SNR)and directional interference in the battlefield environment. The antenna array can improve the SNR and suppress the interference effectively. Combined with the characteristic of VHF radio in the battlefield,a radio antenna with multi-subarrays emergency receiving model is proposed. The characteristics of pattern synthesis of radio antenna with multi-subarrays are analyzed theoretically. In order to remove the grating lobe,suppress the interference and improve the gain,the Bees Algorithm (BA)is applied to optimizing the subarray distances. The simulation result indicated that optimizing the subarray distances can remove the grating lobe,suppress the interference and improve the gain effectively. When compared with Genetic Algorithm(GA)and Particle Swarm Optimization(PSO)algorithm,BA has a better global search ability and convergence speed. The research can provide a reference for emergency communication of VHF radio.