The First Airborne Experiment of Sparse Microwave Imaging: Prototype System Design and Result Analysis Article Swipe
Zhe Zhang
,
Bingchen Zhang
,
Chenglong Jiang
,
Xingdong Liang
,
Longyong Chen
,
Wen Hong
,
Yirong Wu
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2110.10675
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2110.10675
In this paper we report the first airborne experiments of sparse microwave imaging, conducted in September 2013 and May 2014, using our prototype sparse microwave imaging radar system. This is the first reported imaging radar system and airborne experiment that specially designed for sparse microwave imaging. Sparse microwave imaging is a novel concept of radar imaging, it is mainly the combination of traditional radar imaging technology and newly developed sparse signal processing theory, achieving benefits in both improving the imaging quality of current microwave imaging systems and designing optimized sparse microwave imaging radar system to reduce system sampling rate towards the sparse target scenes. During recent years, many researchers focus on related topics of sparse microwave imaging, but rarely few paid attention to prototype system design and experiment. We introduce our prototype sparse microwave imaging radar system, including its system design, hardware considerations and signal processing methods. Several design principles should be considered during the system designing, including the sampling scheme, antenna, SNR, waveform, resolution, etc. We select jittered sampling in azimuth and uniform sampling in range to balance the system complexity and performance. The imaging algorithm is accelerated $\ell_q$ regularization algorithm. To test the prototype radar system and verify the effectiveness of sparse microwave imaging framework, airborne experiments are carried out using our prototype system and we achieve the first sparse microwave image successfully. We analyze the imaging performance of prototype sparse microwave radar system with different sparsities, sampling rates, SNRs and sampling schemes, using three-dimensional phase transit diagram as the evaluation tool.
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- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2110.10675
- https://arxiv.org/pdf/2110.10675
- OA Status
- green
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3206278845
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https://openalex.org/W3206278845Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2110.10675Digital Object Identifier
- Title
-
The First Airborne Experiment of Sparse Microwave Imaging: Prototype System Design and Result AnalysisWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
-
2021-10-20Full publication date if available
- Authors
-
Zhe Zhang, Bingchen Zhang, Chenglong Jiang, Xingdong Liang, Longyong Chen, Wen Hong, Yirong WuList of authors in order
- Landing page
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https://arxiv.org/abs/2110.10675Publisher landing page
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https://arxiv.org/pdf/2110.10675Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2110.10675Direct OA link when available
- Concepts
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Microwave imaging, Computer science, Radar, Radar imaging, Microwave, Compressed sensing, Sampling (signal processing), Computer vision, Sparse array, Artificial intelligence, Radar engineering details, Remote sensing, Telecommunications, Algorithm, Geology, Filter (signal processing)Top concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.recent | 105 |
| abstract_inverted_index.reduce | 95 |
| abstract_inverted_index.report | 4 |
| abstract_inverted_index.select | 167 |
| abstract_inverted_index.should | 150 |
| abstract_inverted_index.signal | 70, 144 |
| abstract_inverted_index.sparse | 10, 23, 43, 69, 89, 101, 114, 132, 203, 221, 232 |
| abstract_inverted_index.system | 35, 93, 96, 124, 139, 155, 180, 197, 215, 235 |
| abstract_inverted_index.target | 102 |
| abstract_inverted_index.topics | 112 |
| abstract_inverted_index.verify | 199 |
| abstract_inverted_index.years, | 106 |
| abstract_inverted_index.Several | 147 |
| abstract_inverted_index.achieve | 218 |
| abstract_inverted_index.analyze | 226 |
| abstract_inverted_index.azimuth | 171 |
| abstract_inverted_index.balance | 178 |
| abstract_inverted_index.carried | 210 |
| abstract_inverted_index.concept | 52 |
| abstract_inverted_index.current | 82 |
| abstract_inverted_index.design, | 140 |
| abstract_inverted_index.diagram | 249 |
| abstract_inverted_index.imaging | 25, 33, 48, 64, 79, 84, 91, 134, 185, 205, 228 |
| abstract_inverted_index.quality | 80 |
| abstract_inverted_index.related | 111 |
| abstract_inverted_index.scenes. | 103 |
| abstract_inverted_index.scheme, | 160 |
| abstract_inverted_index.system, | 136 |
| abstract_inverted_index.system. | 27 |
| abstract_inverted_index.systems | 85 |
| abstract_inverted_index.theory, | 72 |
| abstract_inverted_index.towards | 99 |
| abstract_inverted_index.transit | 248 |
| abstract_inverted_index.uniform | 173 |
| abstract_inverted_index.$\ell_q$ | 189 |
| abstract_inverted_index.airborne | 7, 37, 207 |
| abstract_inverted_index.antenna, | 161 |
| abstract_inverted_index.benefits | 74 |
| abstract_inverted_index.designed | 41 |
| abstract_inverted_index.hardware | 141 |
| abstract_inverted_index.imaging, | 12, 55, 116 |
| abstract_inverted_index.imaging. | 45 |
| abstract_inverted_index.jittered | 168 |
| abstract_inverted_index.methods. | 146 |
| abstract_inverted_index.reported | 32 |
| abstract_inverted_index.sampling | 97, 159, 169, 174, 239, 243 |
| abstract_inverted_index.schemes, | 244 |
| abstract_inverted_index.September | 15 |
| abstract_inverted_index.achieving | 73 |
| abstract_inverted_index.algorithm | 186 |
| abstract_inverted_index.attention | 121 |
| abstract_inverted_index.conducted | 13 |
| abstract_inverted_index.designing | 87 |
| abstract_inverted_index.developed | 68 |
| abstract_inverted_index.different | 237 |
| abstract_inverted_index.improving | 77 |
| abstract_inverted_index.including | 137, 157 |
| abstract_inverted_index.introduce | 129 |
| abstract_inverted_index.microwave | 11, 24, 44, 47, 83, 90, 115, 133, 204, 222, 233 |
| abstract_inverted_index.optimized | 88 |
| abstract_inverted_index.prototype | 22, 123, 131, 195, 214, 231 |
| abstract_inverted_index.specially | 40 |
| abstract_inverted_index.waveform, | 163 |
| abstract_inverted_index.algorithm. | 191 |
| abstract_inverted_index.complexity | 181 |
| abstract_inverted_index.considered | 152 |
| abstract_inverted_index.designing, | 156 |
| abstract_inverted_index.evaluation | 252 |
| abstract_inverted_index.experiment | 38 |
| abstract_inverted_index.framework, | 206 |
| abstract_inverted_index.principles | 149 |
| abstract_inverted_index.processing | 71, 145 |
| abstract_inverted_index.technology | 65 |
| abstract_inverted_index.accelerated | 188 |
| abstract_inverted_index.combination | 60 |
| abstract_inverted_index.experiment. | 127 |
| abstract_inverted_index.experiments | 8, 208 |
| abstract_inverted_index.performance | 229 |
| abstract_inverted_index.researchers | 108 |
| abstract_inverted_index.resolution, | 164 |
| abstract_inverted_index.sparsities, | 238 |
| abstract_inverted_index.traditional | 62 |
| abstract_inverted_index.performance. | 183 |
| abstract_inverted_index.effectiveness | 201 |
| abstract_inverted_index.successfully. | 224 |
| abstract_inverted_index.considerations | 142 |
| abstract_inverted_index.regularization | 190 |
| abstract_inverted_index.three-dimensional | 246 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5400000214576721 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile |