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Particle Swarm Optimization Based Algorithm for Vehicular Antenna Position Design

机译:基于粒子群算法的车载天线位置设计算法

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For the constant increase of the radio equipments in the automobile, various kinds of antennas and equipments with effect of the antenna will be disturbed electromagnetically each other. And the space of the automobile is narrow and small, from the angle of electromagnetic compatible, it is particularly important that the overall arrangement of the antennas is designed. In this passage, we consider isolation as a main factor to set up the mathematics model interfered among the vehicular antennas, and optimize in order to ask solving with particle swarm optimization algorithm and genetic algorithm, thus gained corresponding optimum solving and comparing them. The conclusion has proved that the particle swarm optimization algorithm is a kind of effective one used for the design of automobile antennas.
机译:为了汽车中无线电设备的不断增加,各种天线和具有天线作用的设备将相互电磁干扰。而且,从电磁兼容的角度来看,汽车的空间又狭窄又小,设计天线的整体布局尤为重要。在本文中,我们将隔离度作为建立车辆天线间干扰数学模型的主要因素,并通过粒子群优化算法和遗传算法进行求解,从而获得相应的最优解并进行比较。结论证明,粒子群优化算法是一种有效的汽车天线设计方法。

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