• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Navigation >Hybrid Schemes for Carrier Point Positioning Solution Quality Improvement
【24h】

Hybrid Schemes for Carrier Point Positioning Solution Quality Improvement

机译：混合方案，用于改进载波点定位解决方案的质量

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Operation of GNSS receivers in noise- and interference-dominated environments results in degraded positioning solution quality. Locata, operating on similar principles to GNSS, suffers from similar issues. This paper introduces the concept of a projected loop bandwidth, which offers similar improvements to the widely accepted adaptive bandwidth tracking loops but with reduced algorithm complexity. It is shown that the use of projected bandwidth along with appropriate measurement weighting offers the same advantages as adaptive bandwidth. Improvements offered by both adaptive and projected bandwidth loops are quantized and compared in terms of solution accuracy and precision. To achieve improvements at the navigation engine level, a new variance estimation method is proposed which outperforms CNIR-based variance estimation models used for measurement weighting. Implementation results are presented for the proposed schemes which show that solution accuracy and precision improvements of up to 36% and 35% can be achieved when compared to the conventional approach.
机译：GNSS接收机在噪声和干扰为主的环境中运行会导致定位解决方案质量下降。以与GNSS相似的原理运行的Locata也遭受类似的问题。本文介绍了预计环路带宽的概念，它与广为接受的自适应带宽跟踪环路提供了类似的改进，但算法复杂度有所降低。结果表明，使用投影带宽以及适当的测量权重可提供与自适应带宽相同的优势。量化和比较了自适应带宽环路和预计带宽环路所提供的改进，并根据解决方案的准确性和精度进行了比较。为了在导航引擎级别实现改进，提出了一种新的方差估计方法，该方法优于用于测量加权的基于CNIR的方差估计模型。提出的方案的实现结果表明，与传统方法相比，解决方案的精度和精度分别提高了36％和35％。

著录项

  • 来源
    《Navigation》 |2010年第3期|p.231-247|共17页
  • 作者

    FAISAL A. KHAN; ANDREW G. DEMPSTER; CHRIS RIZOS;

  • 作者单位

    University of New South Wales, Sydney NSW 2052 Australia;

    University of New South Wales, Sydney NSW 2052 Australia;

    University of New South Wales, Sydney NSW 2052 Australia;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号