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机场停机坪内特种车辆的定位是机场场面监控的重要部分,基于无线传感器网络实现对机场特种车辆的实时定位。针对RSSI值易受环境影响问题,采用高斯模型对采集的RSSI值进行筛选,通过空间补偿模型将节点映射到同一平面,并提出了修正加权质心定位算法,修正权重系数,提高定位精度。仿真结果表明,该算法能够满足机场特种车定位精度的要求。
The location of special vehicles in the airport apron is an important part of the airport scene monitoring. Based on the wireless sensor network, the real-time location of the special vehicles in the airport is realized. Aiming at the problem that the RSSI value is easily affected by the environment, the RSSI values of the collected samples are screened by the Gaussian model. The nodes are mapped to the same plane through the space compensation model. The modified weighted centroid localization algorithm is proposed to correct the weight coefficient and improve the positioning accuracy. The simulation results show that the algorithm can meet the requirements of locomotive special vehicles positioning accuracy.