Application of morphological filtering in single-frequency cycle-slip detection

CHI Chuan-guo; JIANG Di; HUANG Guo-yong; WU Jian-de; MA Jun

doi:10.13873/j.1000-9787(2018)03-0157-04

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Application of morphological filtering in single-frequency cycle-slip detection

更新时间：2025-09-11

- Application of morphological filtering in single-frequency cycle-slip detection
- Vol. 37, Issue 3, Pages: 157-160(2018)
- 作者机构：
  
  1. 昆明理工大学信息工程与自动化学院
  2. 云南省矿物管道输送工程技术研究中心
  3. 昆明理工大学机电工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2018)03-0157-04
  CLC： TN911.7;TN967.1
- Published：2018
- 稿件说明：
移动端阅览
[1]池传国,姜迪,黄国勇,吴建德,马军.形态滤波在单频周跳探测中的应用[J].传感器与微系统,2018,37(03):157-160.

CHI Chuan-guo, JIANG Di, HUANG Guo-yong, et al. Application of morphological filtering in single-frequency cycle-slip detection[J]. 2018, 37(3): 157-160.
[1]池传国,姜迪,黄国勇,吴建德,马军.形态滤波在单频周跳探测中的应用[J].传感器与微系统,2018,37(03):157-160. DOI： 10.13873/j.1000-9787(2018)03-0157-04.

CHI Chuan-guo, JIANG Di, HUANG Guo-yong, et al. Application of morphological filtering in single-frequency cycle-slip detection[J]. 2018, 37(3): 157-160. DOI： 10.13873/j.1000-9787(2018)03-0157-04.

摘要

为了实现北斗导航过程中历元间周跳的精准探测

提出了一种基于形态滤波和奇异值分解（SVD）的周跳检测方法。利用相位减伪距法构造周跳检测量作为原始周跳信号。进而构造Hankel矩阵对原始信号进行SVD

得到具有不同分辨率的分量信号

并对得到的分量信号进行形态滤波。使用峭度准则选择峭度值较大的分量进行信号重构

以达到滤除噪声干扰

突出周跳特征的目的。实验结果表明:此方法可以对小周跳进行精确的探测

有效提高了周跳的探测精度。

Abstract

In order to solve the problem of Beidou cycle slip detection during Beidou navigation process

a method based on a morphological filtering and singular value decomposition（ SVD） for cycle slip detection is proposed.Phase reduce false distance law is used to construct the cycle slip to be original cycle slip signal. Construct the Hankel matrix and the SVD decomposition of original signals is carried out

the component signals with different resolutions are obtained. Morphological filtering of component signals is carried out

In order to filter out noise

highlight the purpose of cycle slip characteristics. The kurtosis criterion is used to select the component signals that containing high kurtosis value to reconstruct the signals. The results from the experiments show that the method can be accurate to small cycle slip detection

effectively improve the precision of cycle slip detection.

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references

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