Evidence map›Paper›PMID 33668928›Full record

ArticleSensors (Basel, Switzerland)2021

Ultra-High Resolution Imaging Method for Distributed Small Satellite Spotlight MIMO-SAR Based on Sub-Aperture Image Fusion.

Fang Zhou, Jun Yang, Lu Jia, Xingming Yang, Mengdao Xing

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Fang ZhouSchool of Computer and Information, Hefei University of Technology, Hefei 230009, China.
Jun YangSchool of Computer and Information, Hefei University of Technology, Hefei 230009, China.
Lu JiaSchool of Computer and Information, Hefei University of Technology, Hefei 230009, China.ORCID 0000-0002-7982-797X
Xingming YangSchool of Computer and Information, Hefei University of Technology, Hefei 230009, China.
Mengdao XingInstitute of Electronic Engineering, Xidian University, Xi'an 710071, China.

Funding

Anhui Provincial Natural Science Foundation 1808085MF168National Natural Science Foundation of China 61701154National Natural Science Foundation of China 61701156Postdoctoral Science Foundation of China 2016M592045
6 · The paper itself

Abstract

Small satellite synthetic aperture radar (SAR) has become a new development direction of spaceborne SAR due to its advantages of flexible launch, short development cycle, and low cost. However, there are fewer researches on distributed small satellite multiple input multiple output (MIMO) SAR. This paper proposes an ultra-high resolution imaging method for the distributed small satellite spotlight MIMO-SAR, which applies the sub-aperture division technique and the sub-aperture image coherent fusion algorithm to MIMO-SAR. After deblurring the sub-aperture signal, the large bandwidth signal is obtained by using an improved time domain bandwidth synthesis (TBS) method, and then the ultra-high resolution image is obtained by using a sub-aperture image coherent fusion algorithm. Simulation results validate the feasibility and effectiveness of the proposed approach.

Indexed as

distributed small satellitespotlight multiple input multiple output synthetic aperture radar (MIMO-SAR)sub-aperture image coherent fusiontime domain bandwidth synthesis (TBS)

Identifiers

PMID33668928
PMCPMC7956687

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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.