摘要
传统舰船导航系统在北斗、GPS等多重卫星定位数据融合计算上,存在硬件采集信号与软件数据融合误差较大,目标定位准确度较低的问题,设计基于互联网技术的舰船智能导航系统。首先在硬件上创建定位融合信息采集框架,实现多类型定位数据信号的高精度、连续、同步采集;然后在软件设计部分采用互联网技术对信号处理算法进行优化,具体分为多类型导航数据信号的大数据特征提取、多类型导航信号的联邦科尔曼融合滤波、多类型定位数据的实时修正三部分,通过硬件与软件部分的重构,实现提升系统定位准确度的效果。通过与现有导航系统的10组定位目标的实际定位精度测试表明,设计系统具有定位误差小、速度快、稳定性好、抗干扰性强的特点。
In the traditional ship navigation system,there are some problems in the data fusion calculation of Beidou,GPS and other multiple satellite positioning,such as large error of hardware acquisition signal and software data fusion,and low accuracy of target positioning.Firstly,a positioning fusion information acquisition framework is created on the hardware to realize the high-precision,continuous and synchronous acquisition of multiple types of positioning data signals;Then,in the software design part,Internet technology is used to optimize the signal processing algorithm,which is divided into three parts:big data feature extraction of multi type navigation data signal,federal Coleman fusion filtering of multi type navigation signal,and real-time correction of multi type positioning data.Through the reconstruction of hardware and software,the positioning accuracy of the system is improved.Through the actual positioning accuracy test of 10 groups of positioning targets with the existing navigation system,the design system has the characteristics of small positioning error,fast speed,good stability and strong anti-interference.
作者
沈琦
张健
SHEN Qi;ZHANG Jian(Jiangsu Maritime Institute,Nanjing 211170,China;Sanjiang University,Nanjing 210012,China)
出处
《舰船科学技术》
北大核心
2021年第14期136-138,共3页
Ship Science and Technology
基金
江苏省高校自然科学研究面上项目(18KJB520042)
关键词
互联网技术
智能
导航
系统
internet technology
intelligence
navigation
systems
