%0 Journal Article
%T 大型舰船编队相对导航方法比较<br>Comparison of relative navigation methods for large vessel formation
%A 周红进
%A 钟云海
%A 李
%A 伟
%J 交通运输工程学报
%D 2016
%X 基于导航卫星伪距双差建立了相对导航模型,设计了基于伪距单差的最小二乘算法、基于伪距双差的最小二乘算法、基于伪距单差的EKF算法与基于伪距双差的EKF算法,并通过试验进行对比分析。研究结果表明:基于伪距双差的相对导航模型可以消除电离层、对流层、多路径误差、卫星钟差与接收机钟差; 与最小二乘算法相比,EKF算法能够显著提高相对导航信息的解算精度; EKF算法下伪距双差的解算精度比伪距单差提高约10%; 在几何精度因子最小的原则下,卫星个数增多,距离解算精度提高; 基线为2 m时,基于伪距双差的EKF算法所得距离解算精度可达到0.10 m以内,方位角解算精度可达到4.0°,因此,EFK算法的精度和频率可满足大型舰船编队保持准动态的相对导航需求。<br>A relative navigation model based on the pseudo-range double-difference of navigation satellite was built. Pseudo-range single difference based least square algorithm, pseudo-range double-difference based least square algorithm, pseudo-range single difference based EKF algorithm and pseudo-range double-difference based EKF algorithm were designed and were compared by tests. Analysis result shows that pseudo-range double-difference based relative navigation model can eliminate ionosphere, troposphere, multi-path, satellite clock error and receive clock error. EKF algorithm can significantly improve the resolution accuracy of relative navigation information compared with least square algorithm. Under EKF algorithm, the resolution accuracy of pseudo-range double-difference is 10% better than pseudo-range single difference. Under the minimum GDOP value principle, when the number of satellites increases, the distance resolution accuracy becomes better. When baseline length is 2 m, the distance resolution accuracy of pseudo-range double-difference based EKF algorithm can reach within 0.10 m, azimuth resolution accuracy can reach 4.0°, so the test accuracy and frequency in this paper can satisfy the relative navigation demand of keeping quasi dynamic for large vessel formation. 3 tabs, 27 figs, 20 refs
%K 船舶工程
%K 大型舰船编队
%K 相对导航
%K 伪距单差
%K 伪距双差
%K EKF&lt
%K br&gt
%K ship engineering
%K large vessel formation
%K relative navigation
%K pseudo-range single difference
%K pseudo-range double-difference
%K EKF
%U http://transport.chd.edu.cn/oa/DArticle.aspx?type=view&id=201601018