Evidence map›Paper›PMID 36904878›Full record

ArticleSensors (Basel, Switzerland)2023

A Modified Keystone-Based Forward-Looking Arc Array Synthetic Aperture Radar 3D Imaging Method.

Xiaofan Zhu, Pingping Huang, Wei Xu, Weixian Tan, Yaolong Qi

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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 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.

Xiaofan ZhuCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.
Pingping HuangCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.ORCID 0000-0001-7720-1183
Wei XuCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.ORCID 0000-0002-8045-8817
Weixian TanCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.ORCID 0000-0001-9071-9470
Yaolong QiCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.

Funding

National Natural Science Foundation of China 61971246National Natural Science Foundation of China 62071258Natural Science Foundation of Inner Mongolia Autonomous Region 2020ZD18Natural Science Foundation of Inner Mongolia Autonomous Region 2021MS06005
6 · The paper itself

Abstract

An arc array synthetic aperture radar (AA-SAR) is a new type of omnidirectional observation and imaging system. Based on linear array 3D imaging, this paper introduces a keystone algorithm combined with the arc array SAR 2D imaging method and proposes a modified 3D imaging algorithm based on keystone transformation. The first step is to discuss the target azimuth angle, retain the far-field approximation method of the first-order term, analyze the influence of the forward motion of the platform on the along-track position, and realize the two-dimensional focusing of the target slant range-azimuth direction. The second step is to redefine a new azimuth angle variable in the slant-range along-track imaging and use the keystone-based processing algorithm in the range frequency domain to eliminate the coupling term generated by the array angle and the slant-range time. The corrected data are used to perform along-track pulse compression to obtain the focused image of the target and realize the three-dimensional imaging of the target. Finally, in this article, the spatial resolution of the AA-SAR system in the forward-looking state is analyzed in detail, and the change in the spatial resolution of the system and the effectiveness of the algorithm are verified through simulation.

Indexed as

arc arrayfirst-order term approximation methodforward motion of the carrier platformimproved keystone-based processingspatial resolutionsynthetic aperture radar (SAR)

Identifiers

PMID36904878
PMCPMC10006887

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