Evidence map›Paper›PMID 38097673›Full record

ArticleScientific reports2023

Altitude measurement method of VHF radar based on spatial smoothing of correlation matrix.

Xianchao Wang, Yanping Wei, Shaoyi Li, Changhui Hou, Guoming Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 82% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Xianchao WangSchool of Information and Artificial Intelligence, Nanchang Institute of Science and Technology, Nanchang, 330108, China. xc_wang@aliyun.com.ORCID http://orcid.org/0000-0003-4961-3505
Yanping WeiSchool of Information and Artificial Intelligence, Nanchang Institute of Science and Technology, Nanchang, 330108, China. 281823997@qq.com.
Shaoyi LiSchool of Information and Artificial Intelligence, Nanchang Institute of Science and Technology, Nanchang, 330108, China.
Changhui HouSchool of Information and Artificial Intelligence, Nanchang Institute of Science and Technology, Nanchang, 330108, China.
Guoming ZhangNanchang Industry and Technology School, Nanchang, 330108, China.
Nanchang Institute of Science & Technology · CN

Funding

Nanchang Key Laboratory of Internet of Things Information Visualization Technology 2020-NCZDSY-017Science and Technology Research Project of Jiangxi Province GJJ212503Scientific Research Startup Fund of Nanchang Institute of Science and Technology 20201072
6 · The paper itself

Abstract

For very high frequency (VHF) phased array radar, the key problem to be solved in altitude measurement is the super-resolution spatial spectrum estimation under the condition of coherent sources. The spatial smoothing algorithm is a kind of decorrelation algorithm with excellent properties, but the decorrelation process is at the expense of the effective array aperture. Because it only uses the autocorrelation information of the subspace, its performance is significantly reduced, when the positions of the coherent sources are very close. In order to solve the above problems, this paper proposes an altitude measurement method of VHF radar based on the space smoothing of autocorrelation and cross-correlation matrix, which is used to realize the correlation and super-resolution processing of echo signals and multipath signals. The proposed method does not need to construct a weighting matrix, and can make full use of the received data, enhance the signal components in the equivalent spatial smoothing matrix, reduce the impact of noise, and improve the resolution of coherent sources. The simulation results show that the weighted spatial smoothing method proposed in this paper is correct and effective.

Identifiers

PMID38097673
PMCPMC10721874
OpenAlexW4389736333

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.