关键词: 位置指纹定位技术, 中点插值法, 信道衰减模型, 蝙蝠算法

Abstract: In order to improve the shortcomings of indoor location fingerprint positioning technology that offline heavy workload, limited accuracy, poor robustness, a location fingerprint positioning technology method is proposed based on bat algorithm. The method uses the middle point interpolation method and channel attenuation model instead of offline training stage to automatically generate the fingerprint database to realize the function of timing automatic database updates, then combines K nearest neighbor algorithm with bat algorithm using in the stage of matching algorithm, finally realizes the positioning function. Compared with the traditional method of position location technology it reduces the overall positioning of workload and rapidly responds to the effect of the changing environment, at the end, localization performance test is carried out under the given simulation environment. The result shows that the method improves the average precision than other algorithms about 23.14%, the vast most of the blind node position errors range within 1.5 meters, which shows the advantages of positioning accuracy, robustness and adaptation to the changing environment.

Key words: location fingerprint positioning, middle point interpolation, channel attenuation model, bat algorithm