An iterative new algorithm on navigation and positioning

被引：0
作者：
Wu, Qing'e [1 ]
Wang, Jifang [1 ]
An, Xiaoyu [1 ]
Han, Zhenyu [1 ]
机构：
[1] College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
来源：
Journal of Information and Computational Science | 2010年 / 7卷 / 14期
关键词：
Iterative methods;
D O I：
暂无
中图分类号：
O24 [计算数学];
学科分类号：
070102 ;
摘要：
In order to improve the precision of navigation and positioning, a more accurate solution of positioning equations is required. Therefore, this paper presents a new algorithm. For this algorithm, the simulation is made. Simulation results show that the precision of positioning of the new algorithm for navigation is improved to be 29.41% to contrast those of the old ones. As a result, the precision of navigation and positioning can be improved correspondingly. Finally, some directions for future research are described. Copyright © 2010 Binary Information Press.
引用
收藏
页码：3005 / 3010
相关论文
共 50 条
  • [41] A Two-Step Projected Iterative Algorithm for Tropospheric Water Vapor Tomography
    Liu, Shangyi
    Zhang, Kefei
    Wu, Suqin
    Zhang, Wenyuan
    Li, Longjiang
    Wan, Moufeng
    Shi, Jiaqi
    Zhang, Minghao
    Hu, Andong
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 5999 - 6015
  • [42] Reduced complexity belief propagation algorithm based on iterative groupwise multiuser detection
    Bavarian, Sara
    Cavers, James K.
    2007 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-3, 2007, : 466 - 468
  • [43] An iterative algorithm for large size least-squares constrained regularization problems
    Piccolomini, E. Loli
    Zama, F.
    APPLIED MATHEMATICS AND COMPUTATION, 2011, 217 (24) : 10343 - 10354
  • [44] Fast algorithm for Joseph’s forward projection in iterative computed tomography reconstruction
    Zhang S.
    Zhang Y.
    Tuo M.
    Zhang H.
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 (09) : 12535 - 12548
  • [45] A Picard-type iterative algorithm for general variational inequalities and nonexpansive mappings
    Faik Gürsoy
    Müzeyyen Ertürk
    Mujahid Abbas
    Numerical Algorithms, 2020, 83 : 867 - 883
  • [46] Parameter optimised iterative learning control algorithm for multi-batch reactor
    Gao, Shida
    Li, Jun
    Bo, Cuimei
    Yin, Junhua
    Liu, Yanping
    JOURNAL OF ENGINEERING-JOE, 2019, 2019 (22): : 8319 - 8323
  • [47] A New Multi-Step Iterative Algorithm for Approximating Common Fixed Points of a Finite Family of Multi-Valued Bregman Relatively Nonexpansive Mappings
    Kumam, Wiyada
    Sunthrayuth, Pongsakorn
    Phunchongharn, Phond
    Akkarajitsakul, Khajonpong
    Ngiamsunthorn, Parinya Sa
    Kumam, Poom
    ALGORITHMS, 2016, 9 (02):
  • [48] New iterative approach (ISNCA) for constrained matrix factorization methods
    Bar, Nadav
    Jayavelu, Naresh D.
    IFAC PAPERSONLINE, 2016, 49 (07): : 472 - 477
  • [49] A class of new iterative methods for general mixed variational inequalities
    Noor, MA
    MATHEMATICAL AND COMPUTER MODELLING, 2000, 31 (13) : 11 - 19
  • [50] Some New Iterative Techniques for the Problems Involving Nonlinear Equations
    Ali, Faisal
    Aslam, Waqas
    Rafiq, Arif
    INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS, 2020, 17 (07)
12345