基于蜂群算法任意平面阵最大信干噪比研究

Research on Maximum SINR for Arbitrary Plane Array Based on Bees Algorithm

针对复杂战场环境下超短波电台天线接收低信噪比信号能力弱和易受定向干扰的缺陷,结合战场超短波电台不规则分布和位置不能任意改变的特点,提出任意结构天线阵信号接收模型,采用蜂群算法优化阵元相位使得天线阵输出信干噪比最大。假设信噪比为0 dB,干噪比为60 dB,且在平面内随机选取8个阵元,采用蜂群算法优化后输出信干噪比为8.633 dB。与改进差分进化算法、遗传算法和粒子群优化算法相比,分别提高了0.577 dB、1.124 dB和1.543 dB。研究成果可为超短波电台组阵通信提供参考。

According to the problems of poor performance of receiving signal with low signal to noise ratio （SNR） and vulnerable to directional interference of VHF radio antenna in the complex battlefield, combining with the characteristics of irregular distribution and location couldn＇ t arbitrarily change of VHF radio, a signal receiving model with arbitrary plane array is proposed. The antenna phase is optimized with bees algorithm （BA） to maximize the signal to interference and noise ratio （ SINR）. Assuming the SNR is 0 dB and the INR is 60 dB, by adopting the bees algorithm, the SINR is 8. 633 dB with eight random antennas. Compared ified differential evolution algorithm（MDE）, genetic algorithm（GA） and particle swarm optimal （PSO）, the value is increased O. 577 dB, 1. 124 dB and 1. 543 dB respectively. The research can pro erence for communication of VHF radio array.