以准确定位船舶异构网络节点坐标为目标，提出移动网络环境下的船舶异构网络定位算法。为减少定位过程无用功，使用基于Bounding Box算法的异构网络未知节点位置区域锁定方法，辨识异构网络未知节点位置区域；通过基于改进遗传算法的船舶异构网络定位方法，由TOA测距方法，结合信号的传播速度与时间，判断基站与异构网络未知节点位置区域中未知节点的距离，由基站坐标、基站和未知节点之间距离值相减处理，定位未知节点坐标，考虑到频率漂移会导致定位结果存在误差，使用改进遗传算法校正定位误差，实现船舶异构网络准确定位。实验结果表明，本文算法对移动网络环境下船舶异构网络中单个、多个未知节点的定位结果和实际位置一致，定位结果准确。
Aiming at accurately locating the coordinates of heterogeneous network nodes of ships, a positioning algorithm for heterogeneous network of ships in mobile network environment is proposed. In order to reduce the useless work in the positioning process, the unknown node location area of heterogeneous network is identified by using the method of locking the unknown node location area of heterogeneous network based on the bounding box algorithm; The distance between the base station and the unknown node in the unknown node location area of the heterogeneous network is determined by the toa ranging method based on the improved genetic algorithm. The coordinates of the base station and the distance between the base station and the unknown node are subtracted to locate the coordinates of the unknown node. Considering that the frequency drift will lead to errors in the positioning results, correct the positioning error, and realize the accurate positioning of heterogeneous network. The experimental results show that the positioning results of the proposed algorithm for single and multiple unknown nodes in the heterogeneous network of ships in the mobile network environment are consistent with the actual locations, and the positioning results are accurate.
2022,44(17): 162-165 收稿日期：2022-05-21
DOI：10.3404/j.issn.1672-7649.2022.17.033
分类号：TP393
基金项目：河南省重点研发与推广专项（科技攻关）项目（212102210081）；河南省骨干青年教师资助计划项目（2020GZGG025）
作者简介：李静(1981-)，女，硕士，副教授，主要研究方向为大数据及云计算
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