Orthogonal waveform separation based on echo compression for airborne MIMO‐SAR systems Article Swipe
Jie Wang
,
Longyong Chen
,
Xingdong Liang
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1049/joe.2019.0392
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1049/joe.2019.0392
Attention has been devoted to multi‐input multi‐output (MIMO) synthetic aperture radar (SAR) systems in recent years. The applications of MIMO‐SAR systems which involve high‐resolution wide‐swath remote sensing, three‐dimensional imaging, and multi‐baseline interferometry are seriously limited, because the superposed echoes of the multiple transmitted orthogonal waveforms cannot be separated perfectly. The imperfect separation will introduce ambiguous energy and degrade SAR images dramatically. Here, a novel orthogonal waveform separation scheme based on echo compression is proposed for airborne MIMO‐SAR systems. Specifically, apart from simultaneously transmissions, the transmitters are required to radiate alone several times in a synthetic aperture to acquire their private inner‐aperture channels. For the relevant scene, the energy of the solely radiated orthogonal waveforms can be concentrated by matched‐filtering the superposed echoes with the sensed echoes. To this extent, the orthogonal waveforms can be perfectly separated through extracting the peaks from the echo‐compressed results. The proposed scheme is validated by simulation results.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/joe.2019.0392
- OA Status
- gold
- Cited By
- 3
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2965464814
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2965464814Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1049/joe.2019.0392Digital Object Identifier
- Title
-
Orthogonal waveform separation based on echo compression for airborne MIMO‐SAR systemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-31Full publication date if available
- Authors
-
Jie Wang, Longyong Chen, Xingdong LiangList of authors in order
- Landing page
-
https://doi.org/10.1049/joe.2019.0392Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1049/joe.2019.0392Direct OA link when available
- Concepts
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MIMO, Waveform, Synthetic aperture radar, Computer science, Echo (communications protocol), Energy (signal processing), Acoustics, Electronic engineering, Radar, Telecommunications, Artificial intelligence, Physics, Beamforming, Engineering, Computer network, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2020: 2Per-year citation counts (last 5 years)
- References (count)
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17Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.by | 117, 149 |
| abstract_inverted_index.in | 13, 92 |
| abstract_inverted_index.is | 72, 147 |
| abstract_inverted_index.of | 18, 39, 108 |
| abstract_inverted_index.on | 69 |
| abstract_inverted_index.to | 4, 87, 96 |
| abstract_inverted_index.For | 102 |
| abstract_inverted_index.SAR | 58 |
| abstract_inverted_index.The | 16, 49, 144 |
| abstract_inverted_index.and | 29, 56 |
| abstract_inverted_index.are | 32, 85 |
| abstract_inverted_index.can | 114, 132 |
| abstract_inverted_index.for | 74 |
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| abstract_inverted_index.been | 2 |
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| abstract_inverted_index.from | 80, 140 |
| abstract_inverted_index.this | 127 |
| abstract_inverted_index.will | 52 |
| abstract_inverted_index.with | 122 |
| abstract_inverted_index.(SAR) | 11 |
| abstract_inverted_index.Here, | 61 |
| abstract_inverted_index.alone | 89 |
| abstract_inverted_index.apart | 79 |
| abstract_inverted_index.based | 68 |
| abstract_inverted_index.novel | 63 |
| abstract_inverted_index.peaks | 139 |
| abstract_inverted_index.radar | 10 |
| abstract_inverted_index.their | 98 |
| abstract_inverted_index.times | 91 |
| abstract_inverted_index.which | 21 |
| abstract_inverted_index.(MIMO) | 7 |
| abstract_inverted_index.cannot | 45 |
| abstract_inverted_index.echoes | 38, 121 |
| abstract_inverted_index.energy | 55, 107 |
| abstract_inverted_index.images | 59 |
| abstract_inverted_index.recent | 14 |
| abstract_inverted_index.remote | 25 |
| abstract_inverted_index.scene, | 105 |
| abstract_inverted_index.scheme | 67, 146 |
| abstract_inverted_index.sensed | 124 |
| abstract_inverted_index.solely | 110 |
| abstract_inverted_index.years. | 15 |
| abstract_inverted_index.acquire | 97 |
| abstract_inverted_index.because | 35 |
| abstract_inverted_index.degrade | 57 |
| abstract_inverted_index.devoted | 3 |
| abstract_inverted_index.echoes. | 125 |
| abstract_inverted_index.extent, | 128 |
| abstract_inverted_index.involve | 22 |
| abstract_inverted_index.private | 99 |
| abstract_inverted_index.radiate | 88 |
| abstract_inverted_index.several | 90 |
| abstract_inverted_index.systems | 12, 20 |
| abstract_inverted_index.through | 136 |
| abstract_inverted_index.airborne | 75 |
| abstract_inverted_index.aperture | 9, 95 |
| abstract_inverted_index.imaging, | 28 |
| abstract_inverted_index.limited, | 34 |
| abstract_inverted_index.multiple | 41 |
| abstract_inverted_index.proposed | 73, 145 |
| abstract_inverted_index.radiated | 111 |
| abstract_inverted_index.relevant | 104 |
| abstract_inverted_index.required | 86 |
| abstract_inverted_index.results. | 143, 151 |
| abstract_inverted_index.sensing, | 26 |
| abstract_inverted_index.systems. | 77 |
| abstract_inverted_index.waveform | 65 |
| abstract_inverted_index.Attention | 0 |
| abstract_inverted_index.ambiguous | 54 |
| abstract_inverted_index.channels. | 101 |
| abstract_inverted_index.imperfect | 50 |
| abstract_inverted_index.introduce | 53 |
| abstract_inverted_index.perfectly | 134 |
| abstract_inverted_index.separated | 47, 135 |
| abstract_inverted_index.seriously | 33 |
| abstract_inverted_index.synthetic | 8, 94 |
| abstract_inverted_index.validated | 148 |
| abstract_inverted_index.waveforms | 44, 113, 131 |
| abstract_inverted_index.MIMO‐SAR | 19, 76 |
| abstract_inverted_index.extracting | 137 |
| abstract_inverted_index.orthogonal | 43, 64, 112, 130 |
| abstract_inverted_index.perfectly. | 48 |
| abstract_inverted_index.separation | 51, 66 |
| abstract_inverted_index.simulation | 150 |
| abstract_inverted_index.superposed | 37, 120 |
| abstract_inverted_index.compression | 71 |
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| abstract_inverted_index.applications | 17 |
| abstract_inverted_index.concentrated | 116 |
| abstract_inverted_index.transmitters | 84 |
| abstract_inverted_index.wide‐swath | 24 |
| abstract_inverted_index.Specifically, | 78 |
| abstract_inverted_index.dramatically. | 60 |
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| abstract_inverted_index.multi‐output | 6 |
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| abstract_inverted_index.transmissions, | 82 |
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| abstract_inverted_index.multi‐baseline | 30 |
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| abstract_inverted_index.high‐resolution | 23 |
| abstract_inverted_index.matched‐filtering | 118 |
| abstract_inverted_index.three‐dimensional | 27 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5100739251 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I200845125 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8500000238418579 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.79673854 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |