Evidence map›Paper›PMID 37300018›Full record

ArticleSensors (Basel, Switzerland)2023

An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning.

Yang Jiang, Yuting Gao, Wei Ding, Fei Liu, Yang Gao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yang JiangDepartment of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.
Yuting GaoCollege of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China.
Wei DingSchool of Geomatics, Liaoning Technical University, Fuxin 123000, China.ORCID 0000-0001-8251-4491
Fei LiuProfound Positioning Inc., Calgary, AB T2P 3G3, Canada.
Yang GaoDepartment of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.ORCID 0000-0002-6449-6696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambiguity resolution based on smartphone GNSS measurements can enable various potential applications that currently remain difficult due to ambiguity biases, especially under kinematic conditions. This study proposes an improved ambiguity resolution algorithm, which uses the search-and-shrink procedure coupled with the methods of the multi-epoch double-differenced residual test and the ambiguity majority tests for candidate vectors and ambiguities. By performing a static experiment with Xiaomi Mi 8, the AR efficiency of the proposed method is evaluated. Furthermore, a kinematic test with Google Pixel 5 verifies the effectiveness of the proposed method with improved positioning performance. In conclusion, centimeter-level smartphone positioning accuracy is achieved in both experiments, which is greatly improved compared with the float and traditional AR solutions.

Indexed as

AlgorithmsSmartphoneambiguity resolution (AR)global navigation satellite system (GNSS)real-time kinematic (RTK)smartphone positioning

Identifiers

PMID37300018
PMCPMC10255996

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.