Evidence map›Paper›PMID 35957446›Full record

ArticleSensors (Basel, Switzerland)2022

Calibration-Free 3D Indoor Positioning Algorithms Based on DNN and DIFF.

Jingmin Yang, Shanghui Deng, Li Xu, Wenjie Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

4 authors.

Jingmin YangSchool of Computer Science, Minnan Normal University, Zhangzhou 363000, China.ORCID 0000-0001-6467-7545
Shanghui DengSchool of Computer Science, Minnan Normal University, Zhangzhou 363000, China.ORCID 0000-0003-4419-986X
Li XuFujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350007, China.
Wenjie ZhangSchool of Computer Science, Minnan Normal University, Zhangzhou 363000, China.

Funding

Fujian Province Nature Science Foundation No.2020J01813 and No.2021J011002Opening Foundation of Fujian Provincial Key Laboratory of Network Security and Cryptology Research Fund, Fujian Normal University No.NSCL-KF2021-07Zhangzhou Municipal Natural Science Foundation No.ZZ2021J23
6 · The paper itself

Abstract

The heterogeneity of wireless receiving devices, co-channel interference, and multi-path effect make the received signal strength indication (RSSI) of Wi-Fi fluctuate greatly, which seriously degrades the RSSI-based positioning accuracy. Signal strength difference (DIFF), a calibration-free solution for handling the received signal strength variance between diverse devices, can effectively reduce the negative impact of signal fluctuation. However, DIFF also leads to the explosion of the RSSI data dimension, expanding the number of dimensions from

Indexed as

3D indoor positioningcalibration-freedeep denoising autoencoder (DDAE)fingerprint databasesignal strength difference (DIFF)

Identifiers

PMID35957446
PMCPMC9371388

What OpenQuestion holds

Textmetadata
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.