an accurate method for the bds receiver dcb estimation in a regional network

Clicks: 162
ID: 160234
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #83 of 105 articles by views in Phytochemistry

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
An accurate approach for receiver differential code biases (DCB) estimation is proposed with the BDS data obtained from a regional tracking network. In contrast to the conventional methods for BDS receiver DCB estimation, the proposed method does not require a complicated ionosphere model, as long as one reference station receiver DCB is known. The main idea for this method is that the ionosphere delay is highly dependent on the geometric ranges between the BDS satellite and the receiver normally. Therefore, the non-reference station receivers DCBs in this regional area can be estimated using single difference (SD) with reference stations. The numerical results show that the RMS of these estimated BDS receivers DCBs errors over 30 days are about 0.3 ns. Additionally, after deduction of these estimated receivers DCBs and knowing satellites DCBs, the extractive diurnal VTEC showed a good agreement with the diurnal VTEC gained from the GIM interpolation, indicating the reliability of the estimated receivers DCBs.
Reference Key
xin2016actaan Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;LI Xin;GUO Jiming;ZHOU Lü;QIN Fachao
Journal Phytochemistry
Year 2016
DOI
10.11947/j.AGCS.2016.20160044
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.