Advanced sparsity-driven models and methods for radar applications:
This book introduces advanced sparsity-driven models and methods and their applications in radar tasks such as detection, imaging and classification. It is based on research from the last decade, with a particular focus on applying compressed-sensing-based models and algorithms to solve practical pr...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Stevenage
The Institution of Engineering & Technology, IET
2020
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| Schlagworte: | |
| Online-Zugang: | DE-91 DE-706 DE-29 Volltext https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6426644 |
| Zusammenfassung: | This book introduces advanced sparsity-driven models and methods and their applications in radar tasks such as detection, imaging and classification. It is based on research from the last decade, with a particular focus on applying compressed-sensing-based models and algorithms to solve practical problems in radar Intro -- Contents -- About the author -- Preface -- Acknowledgments -- Notation -- 1. Introduction -- 1.1 Sparsity of radar signals -- 1.2 Fundamentals of sparse signal recovery -- References -- 2. Hybrid greedy pursuit algorithms for enhancing radar imaging quality -- 2.1 Introduction -- 2.2 Radar imaging with multiple measurement vectors -- 2.3 Hybrid matching pursuit algorithm -- 2.4 Look-ahead hybrid matching pursuit algorithm -- 2.5 Conclusion -- References -- 3. Two-level block sparsity model for multichannel radar signals -- 3.1 Introduction -- 3.2 Formulation of the two-level block sparsity model -- 3.3 TWRI based on two-level block sparsity -- 3.4 STAP based on two-level block sparsity -- 3.5 Conclusion -- References -- 4. Parametric sparse representation for radar imaging with model uncertainty -- 4.1 Introduction -- 4.2 Parametric dictionary -- 4.3 Application to SAR refocusing of moving targets -- 4.4 Application to SAR motion compensation -- 4.5 Application to ISAR imaging of aircrafts -- 4.6 Conclusion -- References -- 5. Poisson disk sampling for high-resolution and wide-swath SAR imaging -- 5.1 Introduction -- 5.2 Tradeoff between high-resolution and wide-swath in SAR imaging -- 5.3 Poisson disk sampling scheme -- 5.4 SAR imaging algorithm with Poisson disk sampled data -- 5.5 Experimental results -- 5.6 Conclusion -- References -- 6. When advanced sparse signal models meet coarsely quantized radar data -- 6.1 Introduction -- 6.2 Parametric quantized iterative hard thresholding for SAR refocusing of moving targets with coarsely quantized data -- 6.3 Enhanced 1-bit radar imaging by exploiting two-level block sparsity -- 6.4 Conclusion -- References -- 7. Sparsity aware micro-Doppler analysis for radar target classification -- 7.1 Introduction -- 7.2 Micro-Doppler parameter estimation via PSR. |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource Illustrationen, Diagramme |
| ISBN: | 9781839530760 9781523135301 |
| DOI: | 10.1049/SBRA535E |
Internformat
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| 520 | 3 | |a Intro -- Contents -- About the author -- Preface -- Acknowledgments -- Notation -- 1. Introduction -- 1.1 Sparsity of radar signals -- 1.2 Fundamentals of sparse signal recovery -- References -- 2. Hybrid greedy pursuit algorithms for enhancing radar imaging quality -- 2.1 Introduction -- 2.2 Radar imaging with multiple measurement vectors -- 2.3 Hybrid matching pursuit algorithm -- 2.4 Look-ahead hybrid matching pursuit algorithm -- 2.5 Conclusion -- References -- 3. Two-level block sparsity model for multichannel radar signals -- 3.1 Introduction -- 3.2 Formulation of the two-level block sparsity model -- 3.3 TWRI based on two-level block sparsity -- 3.4 STAP based on two-level block sparsity -- 3.5 Conclusion -- References -- 4. Parametric sparse representation for radar imaging with model uncertainty -- 4.1 Introduction -- 4.2 Parametric dictionary -- 4.3 Application to SAR refocusing of moving targets -- 4.4 Application to SAR motion compensation -- 4.5 Application to ISAR imaging of aircrafts -- 4.6 Conclusion -- References -- 5. Poisson disk sampling for high-resolution and wide-swath SAR imaging -- 5.1 Introduction -- 5.2 Tradeoff between high-resolution and wide-swath in SAR imaging -- 5.3 Poisson disk sampling scheme -- 5.4 SAR imaging algorithm with Poisson disk sampled data -- 5.5 Experimental results -- 5.6 Conclusion -- References -- 6. When advanced sparse signal models meet coarsely quantized radar data -- 6.1 Introduction -- 6.2 Parametric quantized iterative hard thresholding for SAR refocusing of moving targets with coarsely quantized data -- 6.3 Enhanced 1-bit radar imaging by exploiting two-level block sparsity -- 6.4 Conclusion -- References -- 7. Sparsity aware micro-Doppler analysis for radar target classification -- 7.1 Introduction -- 7.2 Micro-Doppler parameter estimation via PSR. | |
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Datensatz im Suchindex
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| discipline_str_mv | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1049/SBRA535E |
| format | Electronic eBook |
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| id | DE-604.BV047209209 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:53:43Z |
| indexdate | 2024-07-31T01:09:16Z |
| institution | BVB |
| isbn | 9781839530760 9781523135301 |
| language | English |
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| publisher | The Institution of Engineering & Technology, IET |
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| spelling | Li, Gang Verfasser aut Advanced sparsity-driven models and methods for radar applications Gang Li Stevenage The Institution of Engineering & Technology, IET 2020 © 2021 1 Online-Ressource Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources This book introduces advanced sparsity-driven models and methods and their applications in radar tasks such as detection, imaging and classification. It is based on research from the last decade, with a particular focus on applying compressed-sensing-based models and algorithms to solve practical problems in radar Intro -- Contents -- About the author -- Preface -- Acknowledgments -- Notation -- 1. Introduction -- 1.1 Sparsity of radar signals -- 1.2 Fundamentals of sparse signal recovery -- References -- 2. Hybrid greedy pursuit algorithms for enhancing radar imaging quality -- 2.1 Introduction -- 2.2 Radar imaging with multiple measurement vectors -- 2.3 Hybrid matching pursuit algorithm -- 2.4 Look-ahead hybrid matching pursuit algorithm -- 2.5 Conclusion -- References -- 3. Two-level block sparsity model for multichannel radar signals -- 3.1 Introduction -- 3.2 Formulation of the two-level block sparsity model -- 3.3 TWRI based on two-level block sparsity -- 3.4 STAP based on two-level block sparsity -- 3.5 Conclusion -- References -- 4. Parametric sparse representation for radar imaging with model uncertainty -- 4.1 Introduction -- 4.2 Parametric dictionary -- 4.3 Application to SAR refocusing of moving targets -- 4.4 Application to SAR motion compensation -- 4.5 Application to ISAR imaging of aircrafts -- 4.6 Conclusion -- References -- 5. Poisson disk sampling for high-resolution and wide-swath SAR imaging -- 5.1 Introduction -- 5.2 Tradeoff between high-resolution and wide-swath in SAR imaging -- 5.3 Poisson disk sampling scheme -- 5.4 SAR imaging algorithm with Poisson disk sampled data -- 5.5 Experimental results -- 5.6 Conclusion -- References -- 6. When advanced sparse signal models meet coarsely quantized radar data -- 6.1 Introduction -- 6.2 Parametric quantized iterative hard thresholding for SAR refocusing of moving targets with coarsely quantized data -- 6.3 Enhanced 1-bit radar imaging by exploiting two-level block sparsity -- 6.4 Conclusion -- References -- 7. Sparsity aware micro-Doppler analysis for radar target classification -- 7.1 Introduction -- 7.2 Micro-Doppler parameter estimation via PSR. Electronic books Erscheint auch als Druck-Ausgabe 978-1-83953-075-3 https://doi.org/10.1049/SBRA535E Verlag URL des Erstveröffentlichers Volltext X:EBC https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6426644 Aggregator |
| spellingShingle | Li, Gang Advanced sparsity-driven models and methods for radar applications |
| title | Advanced sparsity-driven models and methods for radar applications |
| title_auth | Advanced sparsity-driven models and methods for radar applications |
| title_exact_search | Advanced sparsity-driven models and methods for radar applications |
| title_exact_search_txtP | Advanced sparsity-driven models and methods for radar applications |
| title_full | Advanced sparsity-driven models and methods for radar applications Gang Li |
| title_fullStr | Advanced sparsity-driven models and methods for radar applications Gang Li |
| title_full_unstemmed | Advanced sparsity-driven models and methods for radar applications Gang Li |
| title_short | Advanced sparsity-driven models and methods for radar applications |
| title_sort | advanced sparsity driven models and methods for radar applications |
| url | https://doi.org/10.1049/SBRA535E https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6426644 |
| work_keys_str_mv | AT ligang advancedsparsitydrivenmodelsandmethodsforradarapplications |