基于被动式红外传感器的船舶轨迹重构
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摘要
船舶航行的环境十分复杂,动态变化特点显著,导致当前方法无法对船舶轨迹进行精准重构,为了改善船舶航行轨迹重构的精度,提出基于被动式红外传感器的船舶轨迹重构方法。首先建立船舶航行的运动模型,然后通过被动式红外传感器对船舶航行数据进行采集,并通过卡尔曼滤波算法重构船舶轨迹,保证船舶轨迹跟踪准确性,最后采用具体实验对船舶轨迹重构方法性能进行分析。结果表明,本文方法能够实时捕捉船舶航行环境的动态变化趋势,可以高精度的重构船舶航行轨迹,船舶轨迹重构误差小,而且船舶轨迹重构速度快,可以保证船舶航行的安全。
The environment of ship navigation is very complicated and its dynamic changes are remarkable, which causes the current method to reconstruct the ship trajectory accurately. In order to improve the accuracy of the ship trajectory reconstruction, a method of ship trajectory reconstruction based on passive infrared sensors is proposed. The motion model of ship navigation is set up first, then the ship navigation data is collected by passive infrared sensor, and the trajectory of ship is reconstructed by Calman filtering algorithm to ensure the accuracy of the track tracking. Finally, the performance of the ship trajectory reconstruction method is analyzed by the concrete experiment. The results show that this method can capture the dynamic trend of the ship navigation environment in real time. It can reconstruct the navigation track of the ship with high precision, the ship trajectory reconstruction error is small, and the ship trajectory reconstruction speed is fast, and the safety of the ship navigation can be ensured.
The environment of ship navigation is very complicated and its dynamic changes are remarkable, which causes the current method to reconstruct the ship trajectory accurately. In order to improve the accuracy of the ship trajectory reconstruction, a method of ship trajectory reconstruction based on passive infrared sensors is proposed. The motion model of ship navigation is set up first, then the ship navigation data is collected by passive infrared sensor, and the trajectory of ship is reconstructed by Calman filtering algorithm to ensure the accuracy of the track tracking. Finally, the performance of the ship trajectory reconstruction method is analyzed by the concrete experiment. The results show that this method can capture the dynamic trend of the ship navigation environment in real time. It can reconstruct the navigation track of the ship with high precision, the ship trajectory reconstruction error is small, and the ship trajectory reconstruction speed is fast, and the safety of the ship navigation can be ensured.
引文
[1]邱荷珍,王磊,王洪超.船舶轨迹跟踪研究综述[J].实验室研究与探索,2014,33(4):4-7.
[2]WONDERGEM M,LEFEBER E,PETTERSEN K Y,et al.Output feedback tracking of ships[J].IEEE Transactions on Control Systems Technology,2011,19(2):442-448.
[3]沈智鹏,张晓玲.基于非线性增益递归滑模的船舶轨迹跟踪动态面自适应控制[J].自动化学报,2018,44(7):10-14.
[4]黄椰,黄靖,肖长诗,等.基于双目立体视觉的船舶轨迹跟踪算法研究[J].计算机科学,2017,44(1):308-312.
[5]徐铁,蔡奉君,胡勤友,等.基于卡尔曼滤波算法船舶AIS轨迹估计研究[J].现代电子技术,2014,37(5):97-100.
[6]高学彬,张志强,叶世伟,等.无线传感器网络中的被动式红外传感器模型研究[J].计算机应用,2007,27(5):97-100.
[2]WONDERGEM M,LEFEBER E,PETTERSEN K Y,et al.Output feedback tracking of ships[J].IEEE Transactions on Control Systems Technology,2011,19(2):442-448.
[3]沈智鹏,张晓玲.基于非线性增益递归滑模的船舶轨迹跟踪动态面自适应控制[J].自动化学报,2018,44(7):10-14.
[4]黄椰,黄靖,肖长诗,等.基于双目立体视觉的船舶轨迹跟踪算法研究[J].计算机科学,2017,44(1):308-312.
[5]徐铁,蔡奉君,胡勤友,等.基于卡尔曼滤波算法船舶AIS轨迹估计研究[J].现代电子技术,2014,37(5):97-100.
[6]高学彬,张志强,叶世伟,等.无线传感器网络中的被动式红外传感器模型研究[J].计算机应用,2007,27(5):97-100.