一种面向多点定位的协同定位算法  

A Collaborative Localization Algorithm for Multi-point Localization

作　　者：沈家庆[1] 姜维 SHEN Jia-qing;JIANG wei(Aviation Engineering Institute,Civil Aviation Flight University of China,Guanghan 618307)

机构地区：[1]中国民航飞行学院航空工程学院,广汉618307

出　　处：《现代计算机》2018年第7期7-10,共4页Modern Computer

基　　金：中国民用航空飞行学院研究生创新科研项目(No.X2016-37)

摘　　要：为了提高多点定位系统的定位精确度,通过对国内外研究现状的研究学习,分析定位系统中常用的Taylor算法和Chan算法,并利用相对测量误差上限和站址扰动上限,减少Chan算法中因初始测量和选址引起的误差。通过分析两种算法的优缺点,提出一种更为精确的协同定位算法,来克服两种算法各自的局限。通过仿真实验,说明协同算法的优缺点,验证算法的有效性,结果表明协同算法可以提高对目标位置估计的准确度。In order to improve accuracy of multipoint location, through the study of domestic and international research situation, analyzes the Taylor algorithm and Chan algorithm commonly used in positioning system, utilizes the upper limitation of measurement error on relative quantity and site disturbance, reduces the Chan algorithm error caused by the initial measurement and location, proposes a more stable joint positioning algorithm by analyzing the advantages and disadvantages of two kinds of algorithm, it increase the positional accuracy in theory to overcome the limitations of two algorithms respectively. Illustrates the advantages and disadvantages of the improved algorithm, verifies the validity of the algorithm. The results show that the algorithm can improve the accuracy of the target location estimation.

关 键 词：多点定位 TAYLOR 误差上限 

分 类 号：V328[航空宇航科学与技术—人机与环境工程] V351.37